{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\2024-01-07Analysis.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 7 Jan 2024, 15:51:48
{txt}
{com}. set seed 122574
{txt}
{com}. 
. //Table 1 - predicting the female contestant in 2008 CA election
. //Model 1
. poisson fptp_no_femcandiates2008  ln_mj_total_victims income_outside_nepal_per income_outside_district_per per_noholding_10_pa          ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1269.7806}  
Iteration 1:{space 3}log pseudolikelihood = {res:-389.85496}  
Iteration 2:{space 3}log pseudolikelihood = {res: -285.6053}  
Iteration 3:{space 3}log pseudolikelihood = {res:-144.82878}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.70325}  
Iteration 5:{space 3}log pseudolikelihood = {res:-134.28403}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.28299}  
Iteration 7:{space 3}log pseudolikelihood = {res:-134.28299}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2611.51
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-134.28299{txt}{col 49}Pseudo R2{col 67}= {res}    0.6215

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ln_mj_total_victims {c |}{col 29}{res}{space 2} .2702689{col 41}{space 2} .1197152{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .0356315{col 82}{space 3} .5049063
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0119583{col 41}{space 2} .0131652{col 52}{space 1}   -0.91{col 61}{space 3}0.364{col 69}{space 4}-.0377616{col 82}{space 3} .0138451
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0335871{col 41}{space 2}  .021226{col 52}{space 1}    1.58{col 61}{space 3}0.114{col 69}{space 4}-.0080151{col 82}{space 3} .0751892
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0214701{col 41}{space 2}  .011297{col 52}{space 1}   -1.90{col 61}{space 3}0.057{col 69}{space 4}-.0436119{col 82}{space 3} .0006716
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2} -.606837{col 41}{space 2}  .637708{col 52}{space 1}   -0.95{col 61}{space 3}0.341{col 69}{space 4}-1.856722{col 82}{space 3} .6430476
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0284516{col 41}{space 2} .0055027{col 52}{space 1}    5.17{col 61}{space 3}0.000{col 69}{space 4} .0176665{col 82}{space 3} .0392367
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.3107129{col 41}{space 2} .2594184{col 52}{space 1}   -1.20{col 61}{space 3}0.231{col 69}{space 4}-.8191636{col 82}{space 3} .1977377
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .0286975{col 41}{space 2} .2473194{col 52}{space 1}    0.12{col 61}{space 3}0.908{col 69}{space 4}-.4560395{col 82}{space 3} .5134346
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2710125{col 41}{space 2} .2108841{col 52}{space 1}   -1.29{col 61}{space 3}0.199{col 69}{space 4}-.6843377{col 82}{space 3} .1423126
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.1603112{col 41}{space 2} .3569504{col 52}{space 1}   -0.45{col 61}{space 3}0.653{col 69}{space 4}-.8599211{col 82}{space 3} .5392987
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .7043433{col 41}{space 2} .6737224{col 52}{space 1}    1.05{col 61}{space 3}0.296{col 69}{space 4}-.6161284{col 82}{space 3} 2.024815
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.168377{col 41}{space 2} .6784062{col 52}{space 1}    1.72{col 61}{space 3}0.085{col 69}{space 4}-.1612748{col 82}{space 3} 2.498028
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0090851{col 41}{space 2} .0005862{col 52}{space 1}   15.50{col 61}{space 3}0.000{col 69}{space 4} .0079362{col 82}{space 3}  .010234
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.413299{col 41}{space 2} .9097152{col 52}{space 1}   -2.65{col 61}{space 3}0.008{col 69}{space 4}-4.196308{col 82}{space 3}-.6302901
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat gof

{txt}{col 10}Deviance goodness-of-fit {col 32}= {res} 73.44381
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.1319

{txt}{col 10}Pearson goodness-of-fit  {col 32}= {res} 67.61069
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.2617
{txt}
{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_mj_tota~s {c |} {res}    27.93    0.035809
{txt}female_~2001 {c |} {res}    12.24    0.081695
{txt}hilli_region {c |} {res}     7.15    0.139879
{txt}religious_~t {c |} {res}     6.41    0.156089
{txt}tarai_region {c |} {res}     5.59    0.178833
{txt}{space 2}region_mid {c |} {res}     4.52    0.221181
{txt}no_cand~2008 {c |} {res}     4.42    0.225993
{txt}income~l_per {c |} {res}     4.10    0.243917
{txt}{space 1}region_east {c |} {res}     3.36    0.297186
{txt}region_mid~t {c |} {res}     3.14    0.318511
{txt}income_out.. {c |} {res}     2.97    0.336743
{txt}region_far~t {c |} {res}     2.06    0.485977
{txt}per_noh~0_pa {c |} {res}     1.69    0.590766
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     6.58
{txt}
{com}. est store poisson1
{txt}
{com}. margins, at(ln_mj_total_victims=(0(1)7))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:ln_mj_tota~s}{space 4}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 1.260013{col 26}{space 2} .7513935{col 37}{space 1}    1.68{col 46}{space 3}0.094{col 54}{space 4}-.2126909{col 67}{space 3} 2.732718
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 1.651017{col 26}{space 2} .7877923{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4}  .106972{col 67}{space 3} 3.195061
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.163355{col 26}{space 2} .7751946{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .6440013{col 67}{space 3} 3.682708
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  2.83468{col 26}{space 2} .6814222{col 37}{space 1}    4.16{col 46}{space 3}0.000{col 54}{space 4} 1.499117{col 67}{space 3} 4.170243
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 3.714329{col 26}{space 2} .4674102{col 37}{space 1}    7.95{col 46}{space 3}0.000{col 54}{space 4} 2.798222{col 67}{space 3} 4.630436
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 4.866947{col 26}{space 2} .2456961{col 37}{space 1}   19.81{col 46}{space 3}0.000{col 54}{space 4} 4.385392{col 67}{space 3} 5.348503
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 6.377243{col 26}{space 2} .8538074{col 37}{space 1}    7.47{col 46}{space 3}0.000{col 54}{space 4} 4.703811{col 67}{space 3} 8.050674
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 8.356208{col 26}{space 2} 2.080084{col 37}{space 1}    4.02{col 46}{space 3}0.000{col 54}{space 4} 4.279319{col 67}{space 3}  12.4331
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_mj_total_victims{p_end}
{res}{txt}
{com}. graph save Graph "C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 1. Total Vic_Wom_cand.gph", replace
{res}{txt}(file C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 1. Total Vic_Wom_cand.gph saved)

{com}. //Model 2
. poisson fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per income_outside_district_per per_noholding_10_pa       ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1351.4286}  
Iteration 1:{space 3}log pseudolikelihood = {res:-541.34522}  
Iteration 2:{space 3}log pseudolikelihood = {res:-180.04833}  
Iteration 3:{space 3}log pseudolikelihood = {res: -133.4275}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.36201}  
Iteration 5:{space 3}log pseudolikelihood = {res:-132.35353}  
Iteration 6:{space 3}log pseudolikelihood = {res:-132.35353}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}   2822.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.35353{txt}{col 49}Pseudo R2{col 67}= {res}    0.6269

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_male_killed {c |}{col 29}{res}{space 2} .0515499{col 41}{space 2} .0845618{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-.1141883{col 82}{space 3}  .217288
{txt}{space 11}ln_female_killed {c |}{col 29}{res}{space 2}  .238382{col 41}{space 2} .0676807{col 52}{space 1}    3.52{col 61}{space 3}0.000{col 69}{space 4} .1057303{col 82}{space 3} .3710336
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0095693{col 41}{space 2}  .012053{col 52}{space 1}   -0.79{col 61}{space 3}0.427{col 69}{space 4}-.0331928{col 82}{space 3} .0140543
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0373401{col 41}{space 2} .0191463{col 52}{space 1}    1.95{col 61}{space 3}0.051{col 69}{space 4}-.0001861{col 82}{space 3} .0748662
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0153303{col 41}{space 2} .0118752{col 52}{space 1}   -1.29{col 61}{space 3}0.197{col 69}{space 4}-.0386052{col 82}{space 3} .0079446
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2} -.743368{col 41}{space 2} .6023875{col 52}{space 1}   -1.23{col 61}{space 3}0.217{col 69}{space 4}-1.924026{col 82}{space 3} .4372899
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0285287{col 41}{space 2}  .005249{col 52}{space 1}    5.44{col 61}{space 3}0.000{col 69}{space 4}  .018241{col 82}{space 3} .0388165
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.1864046{col 41}{space 2} .2779917{col 52}{space 1}   -0.67{col 61}{space 3}0.503{col 69}{space 4}-.7312584{col 82}{space 3} .3584492
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .1453163{col 41}{space 2} .2639954{col 52}{space 1}    0.55{col 61}{space 3}0.582{col 69}{space 4}-.3721051{col 82}{space 3} .6627378
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2688579{col 41}{space 2} .2298104{col 52}{space 1}   -1.17{col 61}{space 3}0.242{col 69}{space 4}-.7192781{col 82}{space 3} .1815623
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.2243959{col 41}{space 2} .3440814{col 52}{space 1}   -0.65{col 61}{space 3}0.514{col 69}{space 4}-.8987831{col 82}{space 3} .4499913
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .7802741{col 41}{space 2} .6348415{col 52}{space 1}    1.23{col 61}{space 3}0.219{col 69}{space 4}-.4639923{col 82}{space 3} 2.024541
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.193826{col 41}{space 2} .6596096{col 52}{space 1}    1.81{col 61}{space 3}0.070{col 69}{space 4} -.098985{col 82}{space 3} 2.486637
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0104698{col 41}{space 2} .0009862{col 52}{space 1}   10.62{col 61}{space 3}0.000{col 69}{space 4} .0085368{col 82}{space 3} .0124027
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.133255{col 41}{space 2} .8159148{col 52}{space 1}   -2.61{col 61}{space 3}0.009{col 69}{space 4}-3.732419{col 82}{space 3}-.5340914
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat gof

{txt}{col 10}Deviance goodness-of-fit {col 32}= {res} 69.58488
{txt}{col 10}Prob > chi2({res}60{txt}){col 35}=    {res}0.1861

{txt}{col 10}Pearson goodness-of-fit  {col 32}= {res} 62.78367
{txt}{col 10}Prob > chi2({res}60{txt}){col 35}=    {res}0.3779
{txt}
{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_male_ki~d {c |} {res}    37.18    0.026897
{txt}ln_female_~d {c |} {res}    15.35    0.065153
{txt}female_~2001 {c |} {res}    12.08    0.082792
{txt}hilli_region {c |} {res}     6.86    0.145817
{txt}religious_~t {c |} {res}     6.43    0.155434
{txt}tarai_region {c |} {res}     5.88    0.170074
{txt}no_cand~2008 {c |} {res}     4.72    0.211923
{txt}{space 2}region_mid {c |} {res}     4.64    0.215372
{txt}income~l_per {c |} {res}     4.38    0.228375
{txt}{space 1}region_east {c |} {res}     3.53    0.283530
{txt}income_out.. {c |} {res}     2.97    0.337228
{txt}region_mid~t {c |} {res}     2.76    0.361808
{txt}region_far~t {c |} {res}     1.84    0.542509
{txt}per_noh~0_pa {c |} {res}     1.68    0.596516
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     7.88
{txt}
{com}. est store poisson2
{txt}
{com}. margins, at(ln_female_killed=(0(1)5))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted number of events, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}3}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:ln_female_~d}{space 4}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.890274{col 26}{space 2} .4282735{col 37}{space 1}    6.75{col 46}{space 3}0.000{col 54}{space 4} 2.050874{col 67}{space 3} 3.729675
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.668318{col 26}{space 2} .3178101{col 37}{space 1}   11.54{col 46}{space 3}0.000{col 54}{space 4} 3.045422{col 67}{space 3} 4.291215
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 4.655807{col 26}{space 2} .2191957{col 37}{space 1}   21.24{col 46}{space 3}0.000{col 54}{space 4} 4.226192{col 67}{space 3} 5.085423
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 5.909122{col 26}{space 2} .4610832{col 37}{space 1}   12.82{col 46}{space 3}0.000{col 54}{space 4} 5.005415{col 67}{space 3} 6.812829
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 7.499821{col 26}{space 2}  1.03709{col 37}{space 1}    7.23{col 46}{space 3}0.000{col 54}{space 4} 5.467163{col 67}{space 3}  9.53248
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 9.518728{col 26}{space 2} 1.934822{col 37}{space 1}    4.92{col 46}{space 3}0.000{col 54}{space 4} 5.726546{col 67}{space 3} 13.31091
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: ln_female_killed{p_end}
{res}{txt}
{com}. graph save Graph "C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 2.Wom_Killed_Wom_cand.gph", replace
{res}{txt}(file C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 2.Wom_Killed_Wom_cand.gph saved)

{com}. 
. //Model 3
. poisson fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per income_outside_district_per per_noholding_10_pa     ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1271.8006}  
Iteration 1:{space 3}log pseudolikelihood = {res:-403.72203}  
Iteration 2:{space 3}log pseudolikelihood = {res:-267.26822}  
Iteration 3:{space 3}log pseudolikelihood = {res:-140.94256}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.86932}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.64663}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.64593}  
Iteration 7:{space 3}log pseudolikelihood = {res:-133.64593}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2420.25
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.64593{txt}{col 49}Pseudo R2{col 67}= {res}    0.6233

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}ln_state_women_mj {c |}{col 29}{res}{space 2} .1958969{col 41}{space 2} .0786721{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4} .0417024{col 82}{space 3} .3500914
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0085254{col 41}{space 2} .0127256{col 52}{space 1}   -0.67{col 61}{space 3}0.503{col 69}{space 4}-.0334672{col 82}{space 3} .0164164
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0283197{col 41}{space 2} .0181493{col 52}{space 1}    1.56{col 61}{space 3}0.119{col 69}{space 4}-.0072523{col 82}{space 3} .0638918
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0149543{col 41}{space 2} .0113229{col 52}{space 1}   -1.32{col 61}{space 3}0.187{col 69}{space 4}-.0371468{col 82}{space 3} .0072383
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-.8584198{col 41}{space 2}  .605658{col 52}{space 1}   -1.42{col 61}{space 3}0.156{col 69}{space 4}-2.045488{col 82}{space 3}  .328648
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0291672{col 41}{space 2} .0055204{col 52}{space 1}    5.28{col 61}{space 3}0.000{col 69}{space 4} .0183474{col 82}{space 3} .0399869
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.1651411{col 41}{space 2} .2910838{col 52}{space 1}   -0.57{col 61}{space 3}0.570{col 69}{space 4}-.7356549{col 82}{space 3} .4053727
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .1930039{col 41}{space 2} .2802924{col 52}{space 1}    0.69{col 61}{space 3}0.491{col 69}{space 4}-.3563591{col 82}{space 3} .7423668
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2139496{col 41}{space 2} .2217492{col 52}{space 1}   -0.96{col 61}{space 3}0.335{col 69}{space 4}-.6485701{col 82}{space 3} .2206709
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.2423891{col 41}{space 2} .3691943{col 52}{space 1}   -0.66{col 61}{space 3}0.511{col 69}{space 4}-.9659967{col 82}{space 3} .4812185
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .8356269{col 41}{space 2} .6384121{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.4156377{col 82}{space 3} 2.086892
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.336562{col 41}{space 2} .6376206{col 52}{space 1}    2.10{col 61}{space 3}0.036{col 69}{space 4} .0868483{col 82}{space 3} 2.586275
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0097975{col 41}{space 2}  .000751{col 52}{space 1}   13.05{col 61}{space 3}0.000{col 69}{space 4} .0083255{col 82}{space 3} .0112695
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.761313{col 41}{space 2} .8444867{col 52}{space 1}   -2.09{col 61}{space 3}0.037{col 69}{space 4}-3.416476{col 82}{space 3}-.1061492
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat gof

{txt}{col 10}Deviance goodness-of-fit {col 32}= {res} 72.16968
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.1551

{txt}{col 10}Pearson goodness-of-fit  {col 32}= {res} 66.66218
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.2886
{txt}
{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
female_~2001 {c |} {res}    10.73    0.093231
{txt}ln_state_w~j {c |} {res}     7.60    0.131663
{txt}religious_~t {c |} {res}     6.49    0.154197
{txt}hilli_region {c |} {res}     6.21    0.160986
{txt}tarai_region {c |} {res}     5.11    0.195685
{txt}no_cand~2008 {c |} {res}     4.72    0.211684
{txt}{space 2}region_mid {c |} {res}     3.87    0.258146
{txt}income~l_per {c |} {res}     3.76    0.266196
{txt}income_out.. {c |} {res}     2.92    0.342037
{txt}{space 1}region_east {c |} {res}     2.81    0.356198
{txt}region_mid~t {c |} {res}     2.45    0.408693
{txt}region_far~t {c |} {res}     1.72    0.579793
{txt}per_noh~0_pa {c |} {res}     1.56    0.639397
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     4.61
{txt}
{com}. est store poisson3
{txt}
{com}. 
. //Model 4
. poisson fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per income_outside_district_per per_noholding_10_pa    ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1254.3548}  
Iteration 1:{space 3}log pseudolikelihood = {res: -400.9338}  
Iteration 2:{space 3}log pseudolikelihood = {res:-227.73414}  
Iteration 3:{space 3}log pseudolikelihood = {res:-137.80855}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.64107}  
Iteration 5:{space 3}log pseudolikelihood = {res:-134.62182}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.62181}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2455.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-134.62181{txt}{col 49}Pseudo R2{col 67}= {res}    0.6206

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ln_maoist_women_mj {c |}{col 29}{res}{space 2}  .179629{col 41}{space 2} .0820492{col 52}{space 1}    2.19{col 61}{space 3}0.029{col 69}{space 4} .0188156{col 82}{space 3} .3404424
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0122096{col 41}{space 2} .0120492{col 52}{space 1}   -1.01{col 61}{space 3}0.311{col 69}{space 4}-.0358257{col 82}{space 3} .0114065
{txt}income_outside_district_per {c |}{col 29}{res}{space 2}  .023397{col 41}{space 2} .0166421{col 52}{space 1}    1.41{col 61}{space 3}0.160{col 69}{space 4}-.0092209{col 82}{space 3} .0560149
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0216759{col 41}{space 2} .0123592{col 52}{space 1}   -1.75{col 61}{space 3}0.079{col 69}{space 4}-.0458995{col 82}{space 3} .0025478
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-.4055389{col 41}{space 2}  .632376{col 52}{space 1}   -0.64{col 61}{space 3}0.521{col 69}{space 4}-1.644973{col 82}{space 3} .8338953
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0224911{col 41}{space 2} .0048246{col 52}{space 1}    4.66{col 61}{space 3}0.000{col 69}{space 4}  .013035{col 82}{space 3} .0319472
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.3618171{col 41}{space 2} .2495636{col 52}{space 1}   -1.45{col 61}{space 3}0.147{col 69}{space 4}-.8509528{col 82}{space 3} .1273185
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-.0319676{col 41}{space 2}  .238862{col 52}{space 1}   -0.13{col 61}{space 3}0.894{col 69}{space 4}-.5001285{col 82}{space 3} .4361934
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} -.162898{col 41}{space 2} .2164363{col 52}{space 1}   -0.75{col 61}{space 3}0.452{col 69}{space 4}-.5871055{col 82}{space 3} .2613094
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.0629197{col 41}{space 2} .3462544{col 52}{space 1}   -0.18{col 61}{space 3}0.856{col 69}{space 4}-.7415659{col 82}{space 3} .6157265
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .9975179{col 41}{space 2} .6694429{col 52}{space 1}    1.49{col 61}{space 3}0.136{col 69}{space 4}-.3145662{col 82}{space 3} 2.309602
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.405367{col 41}{space 2} .6730893{col 52}{space 1}    2.09{col 61}{space 3}0.037{col 69}{space 4} .0861364{col 82}{space 3} 2.724598
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0095893{col 41}{space 2} .0007055{col 52}{space 1}   13.59{col 61}{space 3}0.000{col 69}{space 4} .0082065{col 82}{space 3} .0109721
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.202074{col 41}{space 2} .8589336{col 52}{space 1}   -1.40{col 61}{space 3}0.162{col 69}{space 4}-2.885553{col 82}{space 3} .4814053
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat gof

{txt}{col 10}Deviance goodness-of-fit {col 32}= {res} 74.12146
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.1207

{txt}{col 10}Pearson goodness-of-fit  {col 32}= {res} 69.54359
{txt}{col 10}Prob > chi2({res}61{txt}){col 35}=    {res}0.2119
{txt}
{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
female_~2001 {c |} {res}    10.89    0.091825
{txt}religious_~t {c |} {res}     6.38    0.156663
{txt}hilli_region {c |} {res}     5.48    0.182623
{txt}tarai_region {c |} {res}     4.71    0.212472
{txt}no_cand~2008 {c |} {res}     4.54    0.220128
{txt}{space 2}region_mid {c |} {res}     3.94    0.253728
{txt}income~l_per {c |} {res}     3.76    0.266070
{txt}income_out.. {c |} {res}     2.92    0.342175
{txt}{space 1}region_east {c |} {res}     2.87    0.348271
{txt}ln_maoist_~j {c |} {res}     2.80    0.356578
{txt}region_mid~t {c |} {res}     2.06    0.485166
{txt}per_noh~0_pa {c |} {res}     1.57    0.636929
{txt}region_far~t {c |} {res}     1.45    0.689930
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     4.11
{txt}
{com}. est store poisson4
{txt}
{com}. 
. 
. //Table 2 2011 & 2021
. //Model 1
. glm fem_land_own_change01_11_1000 fptp_no_femcandiates2008  ln_mj_total_victims income_outside_nepal_per income_outside_district_per    ///
> per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -127.5508}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 2.195964
{txt}Deviance{col 18}={res}{col 20} 131.7578292{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 2.195964
{txt}Pearson{col 18}={res}{col 20} 131.7578292{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 2.195964

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 3.801355
{txt}Log pseudolikelihood{col 22}= {res}-127.5507961{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-127.2915

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}fem_land_own_change01_11_1000{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fptp_no_femcandiates2008 {c |}{col 31}{res}{space 2} .2733646{col 43}{space 2} .0333608{col 54}{space 1}    8.19{col 63}{space 3}0.000{col 71}{space 4} .2079787{col 84}{space 3} .3387506
{txt}{space 10}ln_mj_total_victims {c |}{col 31}{res}{space 2} .0487523{col 43}{space 2} .1517659{col 54}{space 1}    0.32{col 63}{space 3}0.748{col 71}{space 4}-.2487035{col 84}{space 3}  .346208
{txt}{space 5}income_outside_nepal_per {c |}{col 31}{res}{space 2} -.010786{col 43}{space 2} .0234008{col 54}{space 1}   -0.46{col 63}{space 3}0.645{col 71}{space 4}-.0566508{col 84}{space 3} .0350787
{txt}{space 2}income_outside_district_per {c |}{col 31}{res}{space 2} .0234517{col 43}{space 2} .0367709{col 54}{space 1}    0.64{col 63}{space 3}0.524{col 71}{space 4}-.0486179{col 84}{space 3} .0955214
{txt}{space 10}per_noholding_10_pa {c |}{col 31}{res}{space 2} .0118892{col 43}{space 2} .0174751{col 54}{space 1}    0.68{col 63}{space 3}0.496{col 71}{space 4}-.0223614{col 84}{space 3} .0461398
{txt}{space 14}religious_fract {c |}{col 31}{res}{space 2}-2.710811{col 43}{space 2} 1.142703{col 54}{space 1}   -2.37{col 63}{space 3}0.018{col 71}{space 4}-4.950469{col 84}{space 3}-.4711532
{txt}{space 10}female_lit_rate2001 {c |}{col 31}{res}{space 2} .0493229{col 43}{space 2} .0192742{col 54}{space 1}    2.56{col 63}{space 3}0.010{col 71}{space 4} .0115461{col 84}{space 3} .0870996
{txt}{space 18}region_east {c |}{col 31}{res}{space 2}  2.32066{col 43}{space 2} .7190294{col 54}{space 1}    3.23{col 63}{space 3}0.001{col 71}{space 4}  .911388{col 84}{space 3} 3.729932
{txt}{space 19}region_mid {c |}{col 31}{res}{space 2} .1468596{col 43}{space 2} .5935707{col 54}{space 1}    0.25{col 63}{space 3}0.805{col 71}{space 4}-1.016518{col 84}{space 3} 1.310237
{txt}{space 15}region_midwest {c |}{col 31}{res}{space 2} .3308956{col 43}{space 2} .4836673{col 54}{space 1}    0.68{col 63}{space 3}0.494{col 71}{space 4}-.6170748{col 84}{space 3} 1.278866
{txt}{space 15}region_farwest {c |}{col 31}{res}{space 2}-.4204416{col 43}{space 2} .6180482{col 54}{space 1}   -0.68{col 63}{space 3}0.496{col 71}{space 4}-1.631794{col 84}{space 3} .7909107
{txt}{space 17}hilli_region {c |}{col 31}{res}{space 2}-.3220458{col 43}{space 2} .3911275{col 54}{space 1}   -0.82{col 63}{space 3}0.410{col 71}{space 4}-1.088642{col 84}{space 3} .4445501
{txt}{space 17}tarai_region {c |}{col 31}{res}{space 2} -.265019{col 43}{space 2}  .553607{col 54}{space 1}   -0.48{col 63}{space 3}0.632{col 71}{space 4}-1.350069{col 84}{space 3} .8200309
{txt}{space 11}no_candidates_2008 {c |}{col 31}{res}{space 2} .0376991{col 43}{space 2} .0069843{col 54}{space 1}    5.40{col 63}{space 3}0.000{col 71}{space 4} .0240101{col 84}{space 3} .0513881
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-1.722103{col 43}{space 2} 1.452351{col 54}{space 1}   -1.19{col 63}{space 3}0.236{col 71}{space 4}-4.568659{col 84}{space 3} 1.124453
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(fptp_no_femcandiates2008=(1(5)61))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean fem_land_own_change01_11_1000, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 2.516651{col 26}{space 2} .2192063{col 37}{space 1}   11.48{col 46}{space 3}0.000{col 54}{space 4} 2.087014{col 67}{space 3} 2.946287
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 3.883474{col 26}{space 2}  .151829{col 37}{space 1}   25.58{col 46}{space 3}0.000{col 54}{space 4} 3.585894{col 67}{space 3} 4.181053
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 5.250297{col 26}{space 2} .2317322{col 37}{space 1}   22.66{col 46}{space 3}0.000{col 54}{space 4}  4.79611{col 67}{space 3} 5.704484
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  6.61712{col 26}{space 2} .3741587{col 37}{space 1}   17.69{col 46}{space 3}0.000{col 54}{space 4} 5.883783{col 67}{space 3} 7.350458
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 7.983944{col 26}{space 2} .5309773{col 37}{space 1}   15.04{col 46}{space 3}0.000{col 54}{space 4} 6.943247{col 67}{space 3}  9.02464
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 9.350767{col 26}{space 2} .6924783{col 37}{space 1}   13.50{col 46}{space 3}0.000{col 54}{space 4} 7.993534{col 67}{space 3}   10.708
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 10.71759{col 26}{space 2} .8560155{col 37}{space 1}   12.52{col 46}{space 3}0.000{col 54}{space 4}  9.03983{col 67}{space 3} 12.39535
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 12.08441{col 26}{space 2} 1.020611{col 37}{space 1}   11.84{col 46}{space 3}0.000{col 54}{space 4} 10.08405{col 67}{space 3} 14.08477
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 13.45124{col 26}{space 2} 1.185823{col 37}{space 1}   11.34{col 46}{space 3}0.000{col 54}{space 4} 11.12707{col 67}{space 3} 15.77541
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 14.81806{col 26}{space 2} 1.351427{col 37}{space 1}   10.96{col 46}{space 3}0.000{col 54}{space 4} 12.16931{col 67}{space 3} 17.46681
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 16.18488{col 26}{space 2} 1.517294{col 37}{space 1}   10.67{col 46}{space 3}0.000{col 54}{space 4} 13.21104{col 67}{space 3} 19.15872
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 17.55171{col 26}{space 2} 1.683346{col 37}{space 1}   10.43{col 46}{space 3}0.000{col 54}{space 4} 14.25241{col 67}{space 3}   20.851
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 18.91853{col 26}{space 2} 1.849533{col 37}{space 1}   10.23{col 46}{space 3}0.000{col 54}{space 4} 15.29351{col 67}{space 3} 22.54355
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: fptp_no_femcandiates2008{p_end}
{res}{txt}
{com}. graph save Graph "C:\Users\Mmjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_01-11.gph", replace
{txt}(note: file C:\Users\Mmjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_01-11.gph not found)
{err}{p 0 4 2}
file C:\Users\Mmjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_01-11.gph
could not be opened
{p_end}
{txt}{search r(603), local:r(603);}

end of do-file

{search r(603), local:r(603);}

{com}. do "C:\Users\mjoshi2\AppData\Local\Temp\STD4570_000000.tmp"
{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: fptp_no_femcandiates2008{p_end}
{res}{txt}
{com}. graph save Graph "C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_01-11.gph", replace
{res}{txt}(file C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_01-11.gph saved)

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_mj_tota~s {c |} {res}    28.09    0.035598
{txt}no_cand~2008 {c |} {res}    17.10    0.058485
{txt}female_~2001 {c |} {res}    14.32    0.069838
{txt}fptp_n~s2008 {c |} {res}     8.18    0.122289
{txt}hilli_region {c |} {res}     7.18    0.139198
{txt}tarai_region {c |} {res}     6.85    0.146028
{txt}religious_~t {c |} {res}     6.42    0.155756
{txt}income~l_per {c |} {res}     4.71    0.212353
{txt}{space 2}region_mid {c |} {res}     4.64    0.215395
{txt}{space 1}region_east {c |} {res}     3.66    0.273020
{txt}region_mid~t {c |} {res}     3.20    0.312031
{txt}income_out.. {c |} {res}     2.98    0.335759
{txt}region_far~t {c |} {res}     2.11    0.474174
{txt}per_noh~0_pa {c |} {res}     1.78    0.560672
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     7.94
{txt}
{com}. 
. //Model 2
. glm fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-127.40978}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        59
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 2.224801
{txt}Deviance{col 18}={res}{col 20} 131.2632816{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 2.224801
{txt}Pearson{col 18}={res}{col 20} 131.2632816{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 2.224801

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 3.824261
{txt}Log pseudolikelihood{col 22}= {res}-127.4097766{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-123.4685

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}fem_land_own_change01_11_1000{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fptp_no_femcandiates2008 {c |}{col 31}{res}{space 2} .2659755{col 43}{space 2}  .037788{col 54}{space 1}    7.04{col 63}{space 3}0.000{col 71}{space 4} .1919123{col 84}{space 3} .3400387
{txt}{space 15}ln_male_killed {c |}{col 31}{res}{space 2}-.0402567{col 43}{space 2} .1977027{col 54}{space 1}   -0.20{col 63}{space 3}0.839{col 71}{space 4}-.4277468{col 84}{space 3} .3472334
{txt}{space 13}ln_female_killed {c |}{col 31}{res}{space 2} .1248612{col 43}{space 2} .2198689{col 54}{space 1}    0.57{col 63}{space 3}0.570{col 71}{space 4} -.306074{col 84}{space 3} .5557964
{txt}{space 5}income_outside_nepal_per {c |}{col 31}{res}{space 2}-.0096251{col 43}{space 2} .0235408{col 54}{space 1}   -0.41{col 63}{space 3}0.683{col 71}{space 4}-.0557642{col 84}{space 3} .0365139
{txt}{space 2}income_outside_district_per {c |}{col 31}{res}{space 2} .0220508{col 43}{space 2} .0317567{col 54}{space 1}    0.69{col 63}{space 3}0.487{col 71}{space 4}-.0401913{col 84}{space 3} .0842929
{txt}{space 10}per_noholding_10_pa {c |}{col 31}{res}{space 2} .0136435{col 43}{space 2} .0178566{col 54}{space 1}    0.76{col 63}{space 3}0.445{col 71}{space 4}-.0213547{col 84}{space 3} .0486418
{txt}{space 14}religious_fract {c |}{col 31}{res}{space 2}-2.804509{col 43}{space 2} 1.260671{col 54}{space 1}   -2.22{col 63}{space 3}0.026{col 71}{space 4}-5.275378{col 84}{space 3}  -.33364
{txt}{space 10}female_lit_rate2001 {c |}{col 31}{res}{space 2} .0507275{col 43}{space 2} .0200146{col 54}{space 1}    2.53{col 63}{space 3}0.011{col 71}{space 4} .0114996{col 84}{space 3} .0899554
{txt}{space 18}region_east {c |}{col 31}{res}{space 2} 2.386181{col 43}{space 2} .7799437{col 54}{space 1}    3.06{col 63}{space 3}0.002{col 71}{space 4} .8575193{col 84}{space 3} 3.914842
{txt}{space 19}region_mid {c |}{col 31}{res}{space 2} .2049629{col 43}{space 2} .6041622{col 54}{space 1}    0.34{col 63}{space 3}0.734{col 71}{space 4}-.9791732{col 84}{space 3} 1.389099
{txt}{space 15}region_midwest {c |}{col 31}{res}{space 2} .3039793{col 43}{space 2} .4833534{col 54}{space 1}    0.63{col 63}{space 3}0.529{col 71}{space 4} -.643376{col 84}{space 3} 1.251335
{txt}{space 15}region_farwest {c |}{col 31}{res}{space 2}-.4119391{col 43}{space 2} .6304543{col 54}{space 1}   -0.65{col 63}{space 3}0.513{col 71}{space 4}-1.647607{col 84}{space 3} .8237286
{txt}{space 17}hilli_region {c |}{col 31}{res}{space 2}-.3272249{col 43}{space 2} .3688823{col 54}{space 1}   -0.89{col 63}{space 3}0.375{col 71}{space 4}-1.050221{col 84}{space 3} .3957711
{txt}{space 17}tarai_region {c |}{col 31}{res}{space 2}-.3313144{col 43}{space 2} .5689038{col 54}{space 1}   -0.58{col 63}{space 3}0.560{col 71}{space 4}-1.446345{col 84}{space 3} .7837166
{txt}{space 11}no_candidates_2008 {c |}{col 31}{res}{space 2} .0392512{col 43}{space 2} .0074587{col 54}{space 1}    5.26{col 63}{space 3}0.000{col 71}{space 4} .0246324{col 84}{space 3}   .05387
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-1.706191{col 43}{space 2} 1.212764{col 54}{space 1}   -1.41{col 63}{space 3}0.159{col 71}{space 4}-4.083164{col 84}{space 3} .6707827
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_male_ki~d {c |} {res}    41.85    0.023896
{txt}no_cand~2008 {c |} {res}    19.06    0.052471
{txt}ln_female_~d {c |} {res}    16.89    0.059192
{txt}female_~2001 {c |} {res}    15.04    0.066482
{txt}fptp_n~s2008 {c |} {res}     9.26    0.107982
{txt}tarai_region {c |} {res}     7.10    0.140889
{txt}hilli_region {c |} {res}     6.88    0.145447
{txt}religious_~t {c |} {res}     6.49    0.154069
{txt}income~l_per {c |} {res}     4.77    0.209433
{txt}{space 2}region_mid {c |} {res}     4.67    0.214052
{txt}{space 1}region_east {c |} {res}     3.66    0.273134
{txt}income_out.. {c |} {res}     2.98    0.335218
{txt}region_mid~t {c |} {res}     2.82    0.355066
{txt}region_far~t {c |} {res}     1.90    0.525623
{txt}per_noh~0_pa {c |} {res}     1.73    0.577257
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     9.67
{txt}
{com}. 
. //Model 3
. glm fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per   ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-127.25075}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 2.178463
{txt}Deviance{col 18}={res}{col 20} 130.7078032{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 2.178463
{txt}Pearson{col 18}={res}{col 20} 130.7078032{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 2.178463

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 3.793353
{txt}Log pseudolikelihood{col 22}= {res}-127.2507478{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-128.3415

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}fem_land_own_change01_11_1000{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fptp_no_femcandiates2008 {c |}{col 31}{res}{space 2} .2671504{col 43}{space 2} .0350069{col 54}{space 1}    7.63{col 63}{space 3}0.000{col 71}{space 4} .1985382{col 84}{space 3} .3357627
{txt}{space 12}ln_state_women_mj {c |}{col 31}{res}{space 2}  .144841{col 43}{space 2} .1579076{col 54}{space 1}    0.92{col 63}{space 3}0.359{col 71}{space 4}-.1646522{col 84}{space 3} .4543342
{txt}{space 5}income_outside_nepal_per {c |}{col 31}{res}{space 2}-.0083502{col 43}{space 2} .0232994{col 54}{space 1}   -0.36{col 63}{space 3}0.720{col 71}{space 4}-.0540162{col 84}{space 3} .0373158
{txt}{space 2}income_outside_district_per {c |}{col 31}{res}{space 2} .0258148{col 43}{space 2} .0310754{col 54}{space 1}    0.83{col 63}{space 3}0.406{col 71}{space 4}-.0350918{col 84}{space 3} .0867215
{txt}{space 10}per_noholding_10_pa {c |}{col 31}{res}{space 2} .0156338{col 43}{space 2} .0182613{col 54}{space 1}    0.86{col 63}{space 3}0.392{col 71}{space 4}-.0201577{col 84}{space 3} .0514253
{txt}{space 14}religious_fract {c |}{col 31}{res}{space 2}-2.763736{col 43}{space 2} 1.092322{col 54}{space 1}   -2.53{col 63}{space 3}0.011{col 71}{space 4}-4.904649{col 84}{space 3}-.6228239
{txt}{space 10}female_lit_rate2001 {c |}{col 31}{res}{space 2} .0518965{col 43}{space 2} .0198963{col 54}{space 1}    2.61{col 63}{space 3}0.009{col 71}{space 4} .0129004{col 84}{space 3} .0908926
{txt}{space 18}region_east {c |}{col 31}{res}{space 2} 2.395289{col 43}{space 2} .7181065{col 54}{space 1}    3.34{col 63}{space 3}0.001{col 71}{space 4} .9878264{col 84}{space 3} 3.802752
{txt}{space 19}region_mid {c |}{col 31}{res}{space 2} .2141106{col 43}{space 2} .5560172{col 54}{space 1}    0.39{col 63}{space 3}0.700{col 71}{space 4}-.8756631{col 84}{space 3} 1.303884
{txt}{space 15}region_midwest {c |}{col 31}{res}{space 2} .2650421{col 43}{space 2} .4792889{col 54}{space 1}    0.55{col 63}{space 3}0.580{col 71}{space 4}-.6743469{col 84}{space 3} 1.204431
{txt}{space 15}region_farwest {c |}{col 31}{res}{space 2}-.4215328{col 43}{space 2} .6368079{col 54}{space 1}   -0.66{col 63}{space 3}0.508{col 71}{space 4}-1.669653{col 84}{space 3} .8265878
{txt}{space 17}hilli_region {c |}{col 31}{res}{space 2}-.3860133{col 43}{space 2} .3740223{col 54}{space 1}   -1.03{col 63}{space 3}0.302{col 71}{space 4}-1.119084{col 84}{space 3}  .347057
{txt}{space 17}tarai_region {c |}{col 31}{res}{space 2}-.3953894{col 43}{space 2} .5666577{col 54}{space 1}   -0.70{col 63}{space 3}0.485{col 71}{space 4}-1.506018{col 84}{space 3} .7152393
{txt}{space 11}no_candidates_2008 {c |}{col 31}{res}{space 2} .0394877{col 43}{space 2} .0074208{col 54}{space 1}    5.32{col 63}{space 3}0.000{col 71}{space 4} .0249432{col 84}{space 3} .0540323
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-1.971285{col 43}{space 2} 1.298505{col 54}{space 1}   -1.52{col 63}{space 3}0.129{col 71}{space 4}-4.516308{col 84}{space 3}  .573738
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
no_cand~2008 {c |} {res}    17.87    0.055945
{txt}female_~2001 {c |} {res}    12.38    0.080749
{txt}fptp_n~s2008 {c |} {res}     8.20    0.121942
{txt}ln_state_w~j {c |} {res}     7.66    0.130515
{txt}tarai_region {c |} {res}     6.78    0.147458
{txt}religious_~t {c |} {res}     6.52    0.153367
{txt}hilli_region {c |} {res}     6.35    0.157367
{txt}income~l_per {c |} {res}     4.46    0.223999
{txt}{space 2}region_mid {c |} {res}     4.06    0.246567
{txt}{space 1}region_east {c |} {res}     3.18    0.314170
{txt}income_out.. {c |} {res}     2.93    0.341457
{txt}region_mid~t {c |} {res}     2.45    0.407802
{txt}region_far~t {c |} {res}     1.74    0.575307
{txt}per_noh~0_pa {c |} {res}     1.67    0.597334
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     6.16
{txt}
{com}. 
. //Model 4
. glm fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-127.38248}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}  2.18613
{txt}Deviance{col 18}={res}{col 20} 131.1677806{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70}  2.18613
{txt}Pearson{col 18}={res}{col 20} 131.1677806{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70}  2.18613

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 3.796866
{txt}Log pseudolikelihood{col 22}= {res}-127.3824834{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70}-127.8815

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}fem_land_own_change01_11_1000{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}fptp_no_femcandiates2008 {c |}{col 31}{res}{space 2} .2676568{col 43}{space 2} .0343475{col 54}{space 1}    7.79{col 63}{space 3}0.000{col 71}{space 4} .2003369{col 84}{space 3} .3349767
{txt}{space 11}ln_maoist_women_mj {c |}{col 31}{res}{space 2} .1490045{col 43}{space 2} .2534724{col 54}{space 1}    0.59{col 63}{space 3}0.557{col 71}{space 4}-.3477923{col 84}{space 3} .6458014
{txt}{space 5}income_outside_nepal_per {c |}{col 31}{res}{space 2}-.0095203{col 43}{space 2} .0238477{col 54}{space 1}   -0.40{col 63}{space 3}0.690{col 71}{space 4} -.056261{col 84}{space 3} .0372203
{txt}{space 2}income_outside_district_per {c |}{col 31}{res}{space 2} .0212515{col 43}{space 2} .0305022{col 54}{space 1}    0.70{col 63}{space 3}0.486{col 71}{space 4}-.0385317{col 84}{space 3} .0810348
{txt}{space 10}per_noholding_10_pa {c |}{col 31}{res}{space 2} .0129837{col 43}{space 2} .0184701{col 54}{space 1}    0.70{col 63}{space 3}0.482{col 71}{space 4} -.023217{col 84}{space 3} .0491845
{txt}{space 14}religious_fract {c |}{col 31}{res}{space 2}-2.596874{col 43}{space 2} 1.035371{col 54}{space 1}   -2.51{col 63}{space 3}0.012{col 71}{space 4}-4.626165{col 84}{space 3}-.5675834
{txt}{space 10}female_lit_rate2001 {c |}{col 31}{res}{space 2} .0488793{col 43}{space 2} .0186103{col 54}{space 1}    2.63{col 63}{space 3}0.009{col 71}{space 4} .0124037{col 84}{space 3} .0853549
{txt}{space 18}region_east {c |}{col 31}{res}{space 2} 2.295503{col 43}{space 2} .6919531{col 54}{space 1}    3.32{col 63}{space 3}0.001{col 71}{space 4}    .9393{col 84}{space 3} 3.651706
{txt}{space 19}region_mid {c |}{col 31}{res}{space 2}  .129293{col 43}{space 2} .5736955{col 54}{space 1}    0.23{col 63}{space 3}0.822{col 71}{space 4}-.9951295{col 84}{space 3} 1.253715
{txt}{space 15}region_midwest {c |}{col 31}{res}{space 2} .2834427{col 43}{space 2} .4940859{col 54}{space 1}    0.57{col 63}{space 3}0.566{col 71}{space 4}-.6849479{col 84}{space 3} 1.251833
{txt}{space 15}region_farwest {c |}{col 31}{res}{space 2}-.3722329{col 43}{space 2}  .612882{col 54}{space 1}   -0.61{col 63}{space 3}0.544{col 71}{space 4}-1.573459{col 84}{space 3} .8289937
{txt}{space 17}hilli_region {c |}{col 31}{res}{space 2}-.3050696{col 43}{space 2} .3497001{col 54}{space 1}   -0.87{col 63}{space 3}0.383{col 71}{space 4}-.9904693{col 84}{space 3}   .38033
{txt}{space 17}tarai_region {c |}{col 31}{res}{space 2} -.338631{col 43}{space 2} .5144826{col 54}{space 1}   -0.66{col 63}{space 3}0.510{col 71}{space 4}-1.346998{col 84}{space 3} .6697364
{txt}{space 11}no_candidates_2008 {c |}{col 31}{res}{space 2} .0389679{col 43}{space 2} .0071487{col 54}{space 1}    5.45{col 63}{space 3}0.000{col 71}{space 4} .0249567{col 84}{space 3} .0529791
{txt}{space 24}_cons {c |}{col 31}{res}{space 2}-1.619685{col 43}{space 2} 1.148182{col 54}{space 1}   -1.41{col 63}{space 3}0.158{col 71}{space 4}-3.870081{col 84}{space 3} .6307099
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
no_cand~2008 {c |} {res}    17.98    0.055608
{txt}female_~2001 {c |} {res}    12.42    0.080487
{txt}fptp_n~s2008 {c |} {res}     8.35    0.119761
{txt}tarai_region {c |} {res}     6.46    0.154880
{txt}religious_~t {c |} {res}     6.39    0.156452
{txt}hilli_region {c |} {res}     5.60    0.178573
{txt}income~l_per {c |} {res}     4.42    0.226383
{txt}{space 2}region_mid {c |} {res}     4.16    0.240500
{txt}{space 1}region_east {c |} {res}     3.30    0.303100
{txt}income_out.. {c |} {res}     2.93    0.341625
{txt}ln_maoist_~j {c |} {res}     2.88    0.347146
{txt}region_mid~t {c |} {res}     2.06    0.484615
{txt}per_noh~0_pa {c |} {res}     1.67    0.598126
{txt}region_far~t {c |} {res}     1.47    0.679162
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     5.72
{txt}
{com}. 
. //Model 5
. glm fem_land_own_01change21_1000 fptp_no_femcandiates2008  ln_mj_total_victims income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-171.49109}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}  7.08771
{txt}Deviance{col 18}={res}{col 20} 425.2625816{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70}  7.08771
{txt}Pearson{col 18}={res}{col 20} 425.2625816{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70}  7.08771

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 4.973096
{txt}Log pseudolikelihood{col 22}= {res}-171.4910914{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 166.2133

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}fem_land_own_01change21_1000{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}fptp_no_femcandiates2008 {c |}{col 30}{res}{space 2} .4933663{col 42}{space 2}  .060179{col 53}{space 1}    8.20{col 62}{space 3}0.000{col 70}{space 4} .3754176{col 83}{space 3}  .611315
{txt}{space 9}ln_mj_total_victims {c |}{col 30}{res}{space 2} .3047857{col 42}{space 2} .2719972{col 53}{space 1}    1.12{col 62}{space 3}0.262{col 70}{space 4} -.228319{col 83}{space 3} .8378904
{txt}{space 4}income_outside_nepal_per {c |}{col 30}{res}{space 2}-.0123553{col 42}{space 2} .0397929{col 53}{space 1}   -0.31{col 62}{space 3}0.756{col 70}{space 4} -.090348{col 83}{space 3} .0656374
{txt}{space 1}income_outside_district_per {c |}{col 30}{res}{space 2} .0318661{col 42}{space 2} .0674298{col 53}{space 1}    0.47{col 62}{space 3}0.637{col 70}{space 4} -.100294{col 83}{space 3} .1640261
{txt}{space 9}per_noholding_10_pa {c |}{col 30}{res}{space 2}  .024157{col 42}{space 2} .0286234{col 53}{space 1}    0.84{col 62}{space 3}0.399{col 70}{space 4}-.0319438{col 83}{space 3} .0802578
{txt}{space 13}religious_fract {c |}{col 30}{res}{space 2}-2.488122{col 42}{space 2}  2.38125{col 53}{space 1}   -1.04{col 62}{space 3}0.296{col 70}{space 4}-7.155287{col 83}{space 3} 2.179043
{txt}{space 9}female_lit_rate2001 {c |}{col 30}{res}{space 2} .1124933{col 42}{space 2} .0356987{col 53}{space 1}    3.15{col 62}{space 3}0.002{col 70}{space 4} .0425251{col 83}{space 3} .1824615
{txt}{space 17}region_east {c |}{col 30}{res}{space 2} 1.470912{col 42}{space 2} 1.206406{col 53}{space 1}    1.22{col 62}{space 3}0.223{col 70}{space 4}-.8936007{col 83}{space 3} 3.835424
{txt}{space 18}region_mid {c |}{col 30}{res}{space 2}-1.713304{col 42}{space 2} .9791991{col 53}{space 1}   -1.75{col 62}{space 3}0.080{col 70}{space 4}-3.632499{col 83}{space 3}  .205891
{txt}{space 14}region_midwest {c |}{col 30}{res}{space 2} .9654713{col 42}{space 2} .7646797{col 53}{space 1}    1.26{col 62}{space 3}0.207{col 70}{space 4}-.5332735{col 83}{space 3} 2.464216
{txt}{space 14}region_farwest {c |}{col 30}{res}{space 2} .2175664{col 42}{space 2} 1.090426{col 53}{space 1}    0.20{col 62}{space 3}0.842{col 70}{space 4}-1.919629{col 83}{space 3} 2.354761
{txt}{space 16}hilli_region {c |}{col 30}{res}{space 2}-1.066262{col 42}{space 2} .6465703{col 53}{space 1}   -1.65{col 62}{space 3}0.099{col 70}{space 4}-2.333516{col 83}{space 3}  .200993
{txt}{space 16}tarai_region {c |}{col 30}{res}{space 2}-.0381903{col 42}{space 2} 1.141452{col 53}{space 1}   -0.03{col 62}{space 3}0.973{col 70}{space 4}-2.275395{col 83}{space 3} 2.199015
{txt}{space 10}no_candidates_2008 {c |}{col 30}{res}{space 2}  .061663{col 42}{space 2} .0120379{col 53}{space 1}    5.12{col 62}{space 3}0.000{col 70}{space 4} .0380691{col 83}{space 3} .0852568
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-5.108626{col 42}{space 2} 2.670686{col 53}{space 1}   -1.91{col 62}{space 3}0.056{col 70}{space 4}-10.34307{col 83}{space 3} .1258221
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, at(fptp_no_femcandiates2008=(1(5)61))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean fem_land_own_01change21_1000, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.725724{col 26}{space 2} .3731208{col 37}{space 1}    9.99{col 46}{space 3}0.000{col 54}{space 4} 2.994421{col 67}{space 3} 4.457027
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 6.192556{col 26}{space 2} .2809527{col 37}{space 1}   22.04{col 46}{space 3}0.000{col 54}{space 4} 5.641898{col 67}{space 3} 6.743213
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 8.659387{col 26}{space 2} .4469065{col 37}{space 1}   19.38{col 46}{space 3}0.000{col 54}{space 4} 7.783467{col 67}{space 3} 9.535308
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 11.12622{col 26}{space 2} .7082316{col 37}{space 1}   15.71{col 46}{space 3}0.000{col 54}{space 4}  9.73811{col 67}{space 3} 12.51433
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 13.59305{col 26}{space 2} .9922369{col 37}{space 1}   13.70{col 46}{space 3}0.000{col 54}{space 4}  11.6483{col 67}{space 3}  15.5378
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 16.05988{col 26}{space 2} 1.283959{col 37}{space 1}   12.51{col 46}{space 3}0.000{col 54}{space 4} 13.54337{col 67}{space 3}  18.5764
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 18.52671{col 26}{space 2} 1.579128{col 37}{space 1}   11.73{col 46}{space 3}0.000{col 54}{space 4} 15.43168{col 67}{space 3} 21.62175
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 20.99355{col 26}{space 2} 1.876117{col 37}{space 1}   11.19{col 46}{space 3}0.000{col 54}{space 4} 17.31642{col 67}{space 3} 24.67067
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 23.46038{col 26}{space 2}  2.17418{col 37}{space 1}   10.79{col 46}{space 3}0.000{col 54}{space 4} 19.19906{col 67}{space 3} 27.72169
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 25.92721{col 26}{space 2} 2.472929{col 37}{space 1}   10.48{col 46}{space 3}0.000{col 54}{space 4} 21.08036{col 67}{space 3} 30.77406
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 28.39404{col 26}{space 2} 2.772143{col 37}{space 1}   10.24{col 46}{space 3}0.000{col 54}{space 4} 22.96074{col 67}{space 3} 33.82734
{txt}{space 9}12  {c |}{col 14}{res}{space 2} 30.86087{col 26}{space 2} 3.071685{col 37}{space 1}   10.05{col 46}{space 3}0.000{col 54}{space 4} 24.84048{col 67}{space 3} 36.88126
{txt}{space 9}13  {c |}{col 14}{res}{space 2}  33.3277{col 26}{space 2} 3.371468{col 37}{space 1}    9.89{col 46}{space 3}0.000{col 54}{space 4} 26.71975{col 67}{space 3} 39.93566
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: fptp_no_femcandiates2008{p_end}
{res}{txt}
{com}. graph save Graph "C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_11-21.gph", replace
{res}{txt}(file C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\Fig 3.Women_candidate_changeland_11-21.gph saved)

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_mj_tota~s {c |} {res}    28.09    0.035598
{txt}no_cand~2008 {c |} {res}    17.10    0.058485
{txt}female_~2001 {c |} {res}    14.32    0.069838
{txt}fptp_n~s2008 {c |} {res}     8.18    0.122289
{txt}hilli_region {c |} {res}     7.18    0.139198
{txt}tarai_region {c |} {res}     6.85    0.146028
{txt}religious_~t {c |} {res}     6.42    0.155756
{txt}income~l_per {c |} {res}     4.71    0.212353
{txt}{space 2}region_mid {c |} {res}     4.64    0.215395
{txt}{space 1}region_east {c |} {res}     3.66    0.273020
{txt}region_mid~t {c |} {res}     3.20    0.312031
{txt}income_out.. {c |} {res}     2.98    0.335759
{txt}region_far~t {c |} {res}     2.11    0.474174
{txt}per_noh~0_pa {c |} {res}     1.78    0.560672
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     7.94
{txt}
{com}. 
. //Model 6
. glm fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-171.35186}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        59
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 7.181128
{txt}Deviance{col 18}={res}{col 20}   423.68655{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 7.181128
{txt}Pearson{col 18}={res}{col 20}   423.68655{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 7.181128

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70}  4.99605
{txt}Log pseudolikelihood{col 22}= {res}-171.3518575{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 168.9548

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}fem_land_own_01change21_1000{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}fptp_no_femcandiates2008 {c |}{col 30}{res}{space 2} .5089308{col 42}{space 2} .0664557{col 53}{space 1}    7.66{col 62}{space 3}0.000{col 70}{space 4} .3786801{col 83}{space 3} .6391815
{txt}{space 14}ln_male_killed {c |}{col 30}{res}{space 2} .3556776{col 42}{space 2} .3773677{col 53}{space 1}    0.94{col 62}{space 3}0.346{col 70}{space 4}-.3839495{col 83}{space 3} 1.095305
{txt}{space 12}ln_female_killed {c |}{col 30}{res}{space 2}-.0527817{col 42}{space 2} .4222608{col 53}{space 1}   -0.12{col 62}{space 3}0.901{col 70}{space 4}-.8803977{col 83}{space 3} .7748343
{txt}{space 4}income_outside_nepal_per {c |}{col 30}{res}{space 2}-.0160037{col 42}{space 2} .0386398{col 53}{space 1}   -0.41{col 62}{space 3}0.679{col 70}{space 4}-.0917363{col 83}{space 3} .0597288
{txt}{space 1}income_outside_district_per {c |}{col 30}{res}{space 2}  .032651{col 42}{space 2} .0602106{col 53}{space 1}    0.54{col 62}{space 3}0.588{col 70}{space 4}-.0853595{col 83}{space 3} .1506616
{txt}{space 9}per_noholding_10_pa {c |}{col 30}{res}{space 2} .0263578{col 42}{space 2}  .027328{col 53}{space 1}    0.96{col 62}{space 3}0.335{col 70}{space 4}-.0272041{col 83}{space 3} .0799198
{txt}{space 13}religious_fract {c |}{col 30}{res}{space 2}-2.241518{col 42}{space 2} 2.289432{col 53}{space 1}   -0.98{col 62}{space 3}0.328{col 70}{space 4}-6.728723{col 83}{space 3} 2.245687
{txt}{space 9}female_lit_rate2001 {c |}{col 30}{res}{space 2} .1097625{col 42}{space 2} .0351059{col 53}{space 1}    3.13{col 62}{space 3}0.002{col 70}{space 4} .0409563{col 83}{space 3} .1785688
{txt}{space 17}region_east {c |}{col 30}{res}{space 2} 1.437095{col 42}{space 2} 1.328222{col 53}{space 1}    1.08{col 62}{space 3}0.279{col 70}{space 4}-1.166172{col 83}{space 3} 4.040362
{txt}{space 18}region_mid {c |}{col 30}{res}{space 2}-1.767764{col 42}{space 2}   .92936{col 53}{space 1}   -1.90{col 62}{space 3}0.057{col 70}{space 4}-3.589276{col 83}{space 3} .0537485
{txt}{space 14}region_midwest {c |}{col 30}{res}{space 2} 1.054002{col 42}{space 2} .7955763{col 53}{space 1}    1.32{col 62}{space 3}0.185{col 70}{space 4}-.5052988{col 83}{space 3} 2.613303
{txt}{space 14}region_farwest {c |}{col 30}{res}{space 2} .2790568{col 42}{space 2} 1.081181{col 53}{space 1}    0.26{col 62}{space 3}0.796{col 70}{space 4} -1.84002{col 83}{space 3} 2.398133
{txt}{space 16}hilli_region {c |}{col 30}{res}{space 2}-1.049956{col 42}{space 2} .5867745{col 53}{space 1}   -1.79{col 62}{space 3}0.074{col 70}{space 4}-2.200013{col 83}{space 3} .1001005
{txt}{space 16}tarai_region {c |}{col 30}{res}{space 2}-.0606302{col 42}{space 2} 1.138419{col 53}{space 1}   -0.05{col 62}{space 3}0.958{col 70}{space 4} -2.29189{col 83}{space 3}  2.17063
{txt}{space 10}no_candidates_2008 {c |}{col 30}{res}{space 2} .0608835{col 42}{space 2} .0135479{col 53}{space 1}    4.49{col 62}{space 3}0.000{col 70}{space 4}   .03433{col 83}{space 3}  .087437
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-5.063553{col 42}{space 2} 2.120122{col 53}{space 1}   -2.39{col 62}{space 3}0.017{col 70}{space 4}-9.218916{col 83}{space 3}-.9081893
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
ln_male_ki~d {c |} {res}    41.85    0.023896
{txt}no_cand~2008 {c |} {res}    19.06    0.052471
{txt}ln_female_~d {c |} {res}    16.89    0.059192
{txt}female_~2001 {c |} {res}    15.04    0.066482
{txt}fptp_n~s2008 {c |} {res}     9.26    0.107982
{txt}tarai_region {c |} {res}     7.10    0.140889
{txt}hilli_region {c |} {res}     6.88    0.145447
{txt}religious_~t {c |} {res}     6.49    0.154069
{txt}income~l_per {c |} {res}     4.77    0.209433
{txt}{space 2}region_mid {c |} {res}     4.67    0.214052
{txt}{space 1}region_east {c |} {res}     3.66    0.273134
{txt}income_out.. {c |} {res}     2.98    0.335218
{txt}region_mid~t {c |} {res}     2.82    0.355066
{txt}region_far~t {c |} {res}     1.90    0.525623
{txt}per_noh~0_pa {c |} {res}     1.73    0.577257
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     9.67
{txt}
{com}. 
. //Model 7
. glm fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per income_outside_district_per ///
> per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -171.6459}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res}  7.11703
{txt}Deviance{col 18}={res}{col 20} 427.0218046{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70}  7.11703
{txt}Pearson{col 18}={res}{col 20} 427.0218046{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70}  7.11703

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 4.977224
{txt}Log pseudolikelihood{col 22}= {res}-171.6459011{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 167.9725

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}fem_land_own_01change21_1000{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}fptp_no_femcandiates2008 {c |}{col 30}{res}{space 2}  .485817{col 42}{space 2} .0635904{col 53}{space 1}    7.64{col 62}{space 3}0.000{col 70}{space 4} .3611821{col 83}{space 3}  .610452
{txt}{space 11}ln_state_women_mj {c |}{col 30}{res}{space 2} .1733369{col 42}{space 2} .2986341{col 53}{space 1}    0.58{col 62}{space 3}0.562{col 70}{space 4}-.4119752{col 83}{space 3}  .758649
{txt}{space 4}income_outside_nepal_per {c |}{col 30}{res}{space 2}-.0130907{col 42}{space 2} .0410054{col 53}{space 1}   -0.32{col 62}{space 3}0.750{col 70}{space 4}-.0934598{col 83}{space 3} .0672785
{txt}{space 1}income_outside_district_per {c |}{col 30}{res}{space 2} .0112961{col 42}{space 2} .0573541{col 53}{space 1}    0.20{col 62}{space 3}0.844{col 70}{space 4}-.1011159{col 83}{space 3} .1237082
{txt}{space 9}per_noholding_10_pa {c |}{col 30}{res}{space 2} .0232931{col 42}{space 2} .0274423{col 53}{space 1}    0.85{col 62}{space 3}0.396{col 70}{space 4}-.0304928{col 83}{space 3}  .077079
{txt}{space 13}religious_fract {c |}{col 30}{res}{space 2}-2.907802{col 42}{space 2} 2.271089{col 53}{space 1}   -1.28{col 62}{space 3}0.200{col 70}{space 4}-7.359056{col 83}{space 3} 1.543451
{txt}{space 9}female_lit_rate2001 {c |}{col 30}{res}{space 2}  .111073{col 42}{space 2}   .03508{col 53}{space 1}    3.17{col 62}{space 3}0.002{col 70}{space 4} .0423176{col 83}{space 3} .1798285
{txt}{space 17}region_east {c |}{col 30}{res}{space 2} 1.672739{col 42}{space 2} 1.218778{col 53}{space 1}    1.37{col 62}{space 3}0.170{col 70}{space 4} -.716022{col 83}{space 3}   4.0615
{txt}{space 18}region_mid {c |}{col 30}{res}{space 2}-1.512395{col 42}{space 2} .8990744{col 53}{space 1}   -1.68{col 62}{space 3}0.093{col 70}{space 4}-3.274548{col 83}{space 3} .2497585
{txt}{space 14}region_midwest {c |}{col 30}{res}{space 2} 1.099379{col 42}{space 2} .8239262{col 53}{space 1}    1.33{col 62}{space 3}0.182{col 70}{space 4}-.5154871{col 83}{space 3} 2.714244
{txt}{space 14}region_farwest {c |}{col 30}{res}{space 2} .2345729{col 42}{space 2}  1.11209{col 53}{space 1}    0.21{col 62}{space 3}0.833{col 70}{space 4}-1.945084{col 83}{space 3}  2.41423
{txt}{space 16}hilli_region {c |}{col 30}{res}{space 2}-.8902228{col 42}{space 2} .5780337{col 53}{space 1}   -1.54{col 62}{space 3}0.124{col 70}{space 4}-2.023148{col 83}{space 3} .2427025
{txt}{space 16}tarai_region {c |}{col 30}{res}{space 2}  .064238{col 42}{space 2} 1.107085{col 53}{space 1}    0.06{col 62}{space 3}0.954{col 70}{space 4}-2.105608{col 83}{space 3} 2.234084
{txt}{space 10}no_candidates_2008 {c |}{col 30}{res}{space 2} .0638479{col 42}{space 2} .0134541{col 53}{space 1}    4.75{col 62}{space 3}0.000{col 70}{space 4} .0374784{col 83}{space 3} .0902175
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-4.060932{col 42}{space 2} 2.170786{col 53}{space 1}   -1.87{col 62}{space 3}0.061{col 70}{space 4}-8.315594{col 83}{space 3} .1937303
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
no_cand~2008 {c |} {res}    17.87    0.055945
{txt}female_~2001 {c |} {res}    12.38    0.080749
{txt}fptp_n~s2008 {c |} {res}     8.20    0.121942
{txt}ln_state_w~j {c |} {res}     7.66    0.130515
{txt}tarai_region {c |} {res}     6.78    0.147458
{txt}religious_~t {c |} {res}     6.52    0.153367
{txt}hilli_region {c |} {res}     6.35    0.157367
{txt}income~l_per {c |} {res}     4.46    0.223999
{txt}{space 2}region_mid {c |} {res}     4.06    0.246567
{txt}{space 1}region_east {c |} {res}     3.18    0.314170
{txt}income_out.. {c |} {res}     2.93    0.341457
{txt}region_mid~t {c |} {res}     2.45    0.407802
{txt}region_far~t {c |} {res}     1.74    0.575307
{txt}per_noh~0_pa {c |} {res}     1.67    0.597334
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     6.16
{txt}
{com}. 
. //Model 8
. glm fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-171.28816}  
{res}
{txt}Generalized linear models{col 51}No. of obs{col 67}={col 69}{res}        75
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}        60
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 7.049458
{txt}Deviance{col 18}={res}{col 20} 422.9674813{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 7.049458
{txt}Pearson{col 18}={res}{col 20} 422.9674813{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 7.049458

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}u{col 51}{txt}[{res}Identity{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 4.967684
{txt}Log pseudolikelihood{col 22}= {res}-171.2881595{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 163.9182

{txt}{hline 29}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 30}{c |}{col 42}    Robust
{col 1}fem_land_own_01change21_1000{col 30}{c |}      Coef.{col 42}   Std. Err.{col 54}      z{col 62}   P>|z|{col 70}     [95% Con{col 83}f. Interval]
{hline 29}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}fptp_no_femcandiates2008 {c |}{col 30}{res}{space 2} .4767518{col 42}{space 2} .0619093{col 53}{space 1}    7.70{col 62}{space 3}0.000{col 70}{space 4} .3554118{col 83}{space 3} .5980919
{txt}{space 10}ln_maoist_women_mj {c |}{col 30}{res}{space 2} .4317759{col 42}{space 2} .4615478{col 53}{space 1}    0.94{col 62}{space 3}0.350{col 70}{space 4}-.4728411{col 83}{space 3} 1.336393
{txt}{space 4}income_outside_nepal_per {c |}{col 30}{res}{space 2}-.0111098{col 42}{space 2} .0400936{col 53}{space 1}   -0.28{col 62}{space 3}0.782{col 70}{space 4}-.0896918{col 83}{space 3} .0674723
{txt}{space 1}income_outside_district_per {c |}{col 30}{res}{space 2} .0099659{col 42}{space 2} .0576863{col 53}{space 1}    0.17{col 62}{space 3}0.863{col 70}{space 4}-.1030972{col 83}{space 3}  .123029
{txt}{space 9}per_noholding_10_pa {c |}{col 30}{res}{space 2} .0237821{col 42}{space 2} .0310971{col 53}{space 1}    0.76{col 62}{space 3}0.444{col 70}{space 4} -.037167{col 83}{space 3} .0847313
{txt}{space 13}religious_fract {c |}{col 30}{res}{space 2}-2.394397{col 42}{space 2} 2.288643{col 53}{space 1}   -1.05{col 62}{space 3}0.295{col 70}{space 4}-6.880054{col 83}{space 3} 2.091261
{txt}{space 9}female_lit_rate2001 {c |}{col 30}{res}{space 2} .1082221{col 42}{space 2} .0342151{col 53}{space 1}    3.16{col 62}{space 3}0.002{col 70}{space 4} .0411617{col 83}{space 3} .1752825
{txt}{space 17}region_east {c |}{col 30}{res}{space 2} 1.472668{col 42}{space 2} 1.137011{col 53}{space 1}    1.30{col 62}{space 3}0.195{col 70}{space 4} -.755832{col 83}{space 3} 3.701168
{txt}{space 18}region_mid {c |}{col 30}{res}{space 2}-1.684304{col 42}{space 2}  .952897{col 53}{space 1}   -1.77{col 62}{space 3}0.077{col 70}{space 4}-3.551948{col 83}{space 3} .1833399
{txt}{space 14}region_midwest {c |}{col 30}{res}{space 2} .9691031{col 42}{space 2} .8422399{col 53}{space 1}    1.15{col 62}{space 3}0.250{col 70}{space 4}-.6816567{col 83}{space 3} 2.619863
{txt}{space 14}region_farwest {c |}{col 30}{res}{space 2} .3694128{col 42}{space 2} 1.085509{col 53}{space 1}    0.34{col 62}{space 3}0.734{col 70}{space 4}-1.758146{col 83}{space 3} 2.496971
{txt}{space 16}hilli_region {c |}{col 30}{res}{space 2}-.8494746{col 42}{space 2} .5583765{col 53}{space 1}   -1.52{col 62}{space 3}0.128{col 70}{space 4}-1.943872{col 83}{space 3} .2449232
{txt}{space 16}tarai_region {c |}{col 30}{res}{space 2}-.0800183{col 42}{space 2} 1.054208{col 53}{space 1}   -0.08{col 62}{space 3}0.939{col 70}{space 4}-2.146227{col 83}{space 3} 1.986191
{txt}{space 10}no_candidates_2008 {c |}{col 30}{res}{space 2}  .065369{col 42}{space 2} .0126778{col 53}{space 1}    5.16{col 62}{space 3}0.000{col 70}{space 4}  .040521{col 83}{space 3}  .090217
{txt}{space 23}_cons {c |}{col 30}{res}{space 2}-3.918841{col 42}{space 2} 1.944087{col 53}{space 1}   -2.02{col 62}{space 3}0.044{col 70}{space 4}-7.729182{col 83}{space 3}-.1085003
{txt}{hline 29}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(fptp_no_femcandiates2008=(1(5)61))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}        75
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Predicted mean fem_land_own_01change21_1000, predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 10}6}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}11}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}26}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}36}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}46}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}51}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}56}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:fptp_n~s2008}{space 4}{txt:=} {space 9}61}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} 3.790853{col 26}{space 2} .3857753{col 37}{space 1}    9.83{col 46}{space 3}0.000{col 54}{space 4} 3.034747{col 67}{space 3} 4.546958
{txt}{space 10}2  {c |}{col 14}{res}{space 2} 6.174612{col 26}{space 2} .2773119{col 37}{space 1}   22.27{col 46}{space 3}0.000{col 54}{space 4} 5.631091{col 67}{space 3} 6.718133
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 8.558371{col 26}{space 2}  .443418{col 37}{space 1}   19.30{col 46}{space 3}0.000{col 54}{space 4} 7.689288{col 67}{space 3} 9.427454
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 10.94213{col 26}{space 2} .7127239{col 37}{space 1}   15.35{col 46}{space 3}0.000{col 54}{space 4} 9.545217{col 67}{space 3} 12.33904
{txt}{space 10}5  {c |}{col 14}{res}{space 2} 13.32589{col 26}{space 2}  1.00547{col 37}{space 1}   13.25{col 46}{space 3}0.000{col 54}{space 4} 11.35521{col 67}{space 3} 15.29657
{txt}{space 10}6  {c |}{col 14}{res}{space 2} 15.70965{col 26}{space 2} 1.305987{col 37}{space 1}   12.03{col 46}{space 3}0.000{col 54}{space 4} 13.14996{col 67}{space 3} 18.26934
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 18.09341{col 26}{space 2} 1.609929{col 37}{space 1}   11.24{col 46}{space 3}0.000{col 54}{space 4}   14.938{col 67}{space 3} 21.24881
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 20.47717{col 26}{space 2} 1.915667{col 37}{space 1}   10.69{col 46}{space 3}0.000{col 54}{space 4} 16.72253{col 67}{space 3} 24.23181
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 22.86093{col 26}{space 2}  2.22246{col 37}{space 1}   10.29{col 46}{space 3}0.000{col 54}{space 4} 18.50498{col 67}{space 3} 27.21687
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 25.24469{col 26}{space 2} 2.529924{col 37}{space 1}    9.98{col 46}{space 3}0.000{col 54}{space 4} 20.28613{col 67}{space 3} 30.20325
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 27.62845{col 26}{space 2} 2.837841{col 37}{space 1}    9.74{col 46}{space 3}0.000{col 54}{space 4} 22.06638{col 67}{space 3} 33.19051
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  30.0122{col 26}{space 2} 3.146077{col 37}{space 1}    9.54{col 46}{space 3}0.000{col 54}{space 4} 23.84601{col 67}{space 3}  36.1784
{txt}{space 9}13  {c |}{col 14}{res}{space 2} 32.39596{col 26}{space 2} 3.454548{col 37}{space 1}    9.38{col 46}{space 3}0.000{col 54}{space 4} 25.62517{col 67}{space 3} 39.16675
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: fptp_no_femcandiates2008{p_end}
{res}{txt}
{com}. vif, uncen

{txt}    Variable {c |}       VIF       1/VIF  
{hline 13}{c +}{hline 22}
no_cand~2008 {c |} {res}    17.98    0.055608
{txt}female_~2001 {c |} {res}    12.42    0.080487
{txt}fptp_n~s2008 {c |} {res}     8.35    0.119761
{txt}tarai_region {c |} {res}     6.46    0.154880
{txt}religious_~t {c |} {res}     6.39    0.156452
{txt}hilli_region {c |} {res}     5.60    0.178573
{txt}income~l_per {c |} {res}     4.42    0.226383
{txt}{space 2}region_mid {c |} {res}     4.16    0.240500
{txt}{space 1}region_east {c |} {res}     3.30    0.303100
{txt}income_out.. {c |} {res}     2.93    0.341625
{txt}ln_maoist_~j {c |} {res}     2.88    0.347146
{txt}region_mid~t {c |} {res}     2.06    0.484615
{txt}per_noh~0_pa {c |} {res}     1.67    0.598126
{txt}region_far~t {c |} {res}     1.47    0.679162
{txt}{hline 13}{c +}{hline 22}
    Mean VIF {c |} {res}     5.72
{txt}
{com}. 
. //Appandix Files
. //Table 1 Descriptive Stat
. sum fptp_no_femcandiates2008 ln_bystate ln_bymaoist ln_mj_total_victims ln_male_killed ln_female_killed ln_state_women_mj       ///
> ln_maoist_women_mj income_outside_nepal_per      income_outside_district_per per_noholding_10_pa        fem_land_own_change01_11_1000   ///
> religious_fract female_lit_rate2001 region_east region_mid region_midwest region_farwest hill tarai no_candidates_2008

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
fptp_n~s2008 {c |}{res}         75        4.92    7.721084          0         61
{txt}{space 2}ln_bystate {c |}{res}         75    4.264694    1.096869          0   6.659294
{txt}{space 1}ln_bymaoist {c |}{res}         83    3.360635    1.521543          0   5.560682
{txt}ln_mj_tota~s {c |}{res}         75    4.985123    1.039136          0   6.733402
{txt}ln_male_ki~d {c |}{res}         75    4.607104    1.096043          0   6.774224
{txt}{hline 13}{c +}{hline 57}
ln_female_~d {c |}{res}         75    2.574494    1.089641          0   4.762174
{txt}ln_state_w~j {c |}{res}         83    2.151511    1.294529          0    4.70048
{txt}ln_maoist_~j {c |}{res}         83    .7144588    .7750221          0   2.772589
{txt}income~l_per {c |}{res}         75    7.970069    7.349799          0   32.09283
{txt}income_out.. {c |}{res}         75    5.311775    4.201632   .8843538   32.32775
{txt}{hline 13}{c +}{hline 57}
per_noh~0_pa {c |}{res}         75    3.887399    7.360413          0    44.1897
{txt}fem~_11_1000 {c |}{res}         75     3.58824    4.532778      -.016       29.2
{txt}religious_~t {c |}{res}         75    .2179114    .1777875   .0021603   .5727223
{txt}female_~2001 {c |}{res}         75    39.35773    13.71605       9.27      66.59
{txt}{space 1}region_east {c |}{res}         75    .2133333    .4124198          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}region_mid {c |}{res}         75    .2533333     .437849          0          1
{txt}region_mid~t {c |}{res}         75          .2    .4026936          0          1
{txt}region_far~t {c |}{res}         75         .12    .3271499          0          1
{txt}hilli_region {c |}{res}         75    .5333333    .5022472          0          1
{txt}tarai_region {c |}{res}         75    .2933333    .4583559          0          1
{txt}{hline 13}{c +}{hline 57}
no_cand~2008 {c |}{res}         75    52.74667    56.10947          3        310
{txt}
{com}. 
. //Table 2 - Replicates Table 1 with NBREG
. nbreg fptp_no_femcandiates2008  ln_mj_total_victims income_outside_nepal_per income_outside_district_per per_noholding_10_pa            ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1269.7806}  
Iteration 1:{space 3}log pseudolikelihood = {res:-389.85496}  
Iteration 2:{space 3}log pseudolikelihood = {res: -285.6053}  
Iteration 3:{space 3}log pseudolikelihood = {res:-144.82878}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.70325}  
Iteration 5:{space 3}log pseudolikelihood = {res:-134.28403}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.28299}  
Iteration 7:{space 3}log pseudolikelihood = {res:-134.28299}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-201.65054}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.77306}  
Iteration 2:{space 3}log pseudolikelihood = {res:-200.77303}  
Iteration 3:{space 3}log pseudolikelihood = {res:-200.77303}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-178.51058}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.68089}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-137.55023}  
Iteration 3:{space 3}log pseudolikelihood = {res: -135.9154}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.96778}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-134.60013}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.35814}  
Iteration 7:{space 3}log pseudolikelihood = {res:-134.28651}  
Iteration 8:{space 3}log pseudolikelihood = {res:-134.28365}  
Iteration 9:{space 3}log pseudolikelihood = {res:-134.28314}  
Iteration 10:{space 2}log pseudolikelihood = {res:-134.28303}  
Iteration 11:{space 2}log pseudolikelihood = {res:  -134.283}  
Iteration 12:{space 2}log pseudolikelihood = {res:-134.28299}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2611.46
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-134.28299{txt}{col 49}Pseudo R2{col 67}= {res}    0.3312

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}ln_mj_total_victims {c |}{col 29}{res}{space 2} .2702699{col 41}{space 2} .1197153{col 52}{space 1}    2.26{col 61}{space 3}0.024{col 69}{space 4} .0356323{col 82}{space 3} .5049075
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2} -.011958{col 41}{space 2} .0131652{col 52}{space 1}   -0.91{col 61}{space 3}0.364{col 69}{space 4}-.0377614{col 82}{space 3} .0138454
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0335874{col 41}{space 2}  .021226{col 52}{space 1}    1.58{col 61}{space 3}0.114{col 69}{space 4}-.0080148{col 82}{space 3} .0751896
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}  -.02147{col 41}{space 2}  .011297{col 52}{space 1}   -1.90{col 61}{space 3}0.057{col 69}{space 4}-.0436117{col 82}{space 3} .0006717
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-.6068369{col 41}{space 2} .6377091{col 52}{space 1}   -0.95{col 61}{space 3}0.341{col 69}{space 4}-1.856724{col 82}{space 3} .6430499
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0284516{col 41}{space 2} .0055027{col 52}{space 1}    5.17{col 61}{space 3}0.000{col 69}{space 4} .0176665{col 82}{space 3} .0392367
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.3107099{col 41}{space 2} .2594171{col 52}{space 1}   -1.20{col 61}{space 3}0.231{col 69}{space 4} -.819158{col 82}{space 3} .1977382
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .0286999{col 41}{space 2} .2473178{col 52}{space 1}    0.12{col 61}{space 3}0.908{col 69}{space 4} -.456034{col 82}{space 3} .5134339
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2710153{col 41}{space 2} .2108836{col 52}{space 1}   -1.29{col 61}{space 3}0.199{col 69}{space 4}-.6843395{col 82}{space 3} .1423089
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.1603149{col 41}{space 2} .3569508{col 52}{space 1}   -0.45{col 61}{space 3}0.653{col 69}{space 4}-.8599256{col 82}{space 3} .5392957
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .7043436{col 41}{space 2} .6737229{col 52}{space 1}    1.05{col 61}{space 3}0.296{col 69}{space 4} -.616129{col 82}{space 3} 2.024816
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.168387{col 41}{space 2} .6784066{col 52}{space 1}    1.72{col 61}{space 3}0.085{col 69}{space 4} -.161266{col 82}{space 3} 2.498039
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2}  .009085{col 41}{space 2} .0005862{col 52}{space 1}   15.50{col 61}{space 3}0.000{col 69}{space 4} .0079361{col 82}{space 3} .0102339
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.413307{col 41}{space 2} .9097164{col 52}{space 1}   -2.65{col 61}{space 3}0.008{col 69}{space 4}-4.196318{col 82}{space 3}-.6302952
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2}-16.18072{col 41}{space 2} 3.139371{col 69}{space 4}-22.33378{col 82}{space 3}-10.02767
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 9.39e-08{col 41}{space 2} 2.95e-07{col 69}{space 4} 2.00e-10{col 82}{space 3} .0000442
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store nbreg1
{txt}
{com}. 
. nbreg fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per income_outside_district_per per_noholding_10_pa ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1351.4286}  
Iteration 1:{space 3}log pseudolikelihood = {res:-541.34522}  
Iteration 2:{space 3}log pseudolikelihood = {res:-180.04833}  
Iteration 3:{space 3}log pseudolikelihood = {res: -133.4275}  
Iteration 4:{space 3}log pseudolikelihood = {res:-132.36201}  
Iteration 5:{space 3}log pseudolikelihood = {res:-132.35353}  
Iteration 6:{space 3}log pseudolikelihood = {res:-132.35353}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-201.65054}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.77306}  
Iteration 2:{space 3}log pseudolikelihood = {res:-200.77303}  
Iteration 3:{space 3}log pseudolikelihood = {res:-200.77303}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-178.23906}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-155.53646}  
Iteration 2:{space 3}log pseudolikelihood = {res:-141.10531}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-136.96699}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.38593}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.42805}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-133.08638}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res: -132.5623}  
Iteration 8:{space 3}log pseudolikelihood = {res: -132.3568}  
Iteration 9:{space 3}log pseudolikelihood = {res:-132.35416}  
Iteration 10:{space 2}log pseudolikelihood = {res:-132.35367}  
Iteration 11:{space 2}log pseudolikelihood = {res:-132.35356}  
Iteration 12:{space 2}log pseudolikelihood = {res:-132.35353}  
Iteration 13:{space 2}log pseudolikelihood = {res:-132.35353}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}14{txt}){col 67}= {res}   2822.20
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-132.35353{txt}{col 49}Pseudo R2{col 67}= {res}    0.3408

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}ln_male_killed {c |}{col 29}{res}{space 2} .0515499{col 41}{space 2} .0845618{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-.1141883{col 82}{space 3}  .217288
{txt}{space 11}ln_female_killed {c |}{col 29}{res}{space 2}  .238382{col 41}{space 2} .0676807{col 52}{space 1}    3.52{col 61}{space 3}0.000{col 69}{space 4} .1057303{col 82}{space 3} .3710336
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0095693{col 41}{space 2}  .012053{col 52}{space 1}   -0.79{col 61}{space 3}0.427{col 69}{space 4}-.0331928{col 82}{space 3} .0140543
{txt}income_outside_district_per {c |}{col 29}{res}{space 2}   .03734{col 41}{space 2} .0191463{col 52}{space 1}    1.95{col 61}{space 3}0.051{col 69}{space 4}-.0001861{col 82}{space 3} .0748662
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0153303{col 41}{space 2} .0118752{col 52}{space 1}   -1.29{col 61}{space 3}0.197{col 69}{space 4}-.0386052{col 82}{space 3} .0079446
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2} -.743368{col 41}{space 2} .6023874{col 52}{space 1}   -1.23{col 61}{space 3}0.217{col 69}{space 4}-1.924026{col 82}{space 3} .4372897
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0285287{col 41}{space 2}  .005249{col 52}{space 1}    5.44{col 61}{space 3}0.000{col 69}{space 4}  .018241{col 82}{space 3} .0388165
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.1864045{col 41}{space 2} .2779918{col 52}{space 1}   -0.67{col 61}{space 3}0.503{col 69}{space 4}-.7312585{col 82}{space 3} .3584495
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .1453164{col 41}{space 2} .2639954{col 52}{space 1}    0.55{col 61}{space 3}0.582{col 69}{space 4}-.3721051{col 82}{space 3} .6627379
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2688579{col 41}{space 2} .2298106{col 52}{space 1}   -1.17{col 61}{space 3}0.242{col 69}{space 4}-.7192783{col 82}{space 3} .1815625
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.2243958{col 41}{space 2} .3440815{col 52}{space 1}   -0.65{col 61}{space 3}0.514{col 69}{space 4}-.8987831{col 82}{space 3} .4499915
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .7802743{col 41}{space 2} .6348416{col 52}{space 1}    1.23{col 61}{space 3}0.219{col 69}{space 4}-.4639923{col 82}{space 3} 2.024541
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.193826{col 41}{space 2} .6596096{col 52}{space 1}    1.81{col 61}{space 3}0.070{col 69}{space 4}-.0989849{col 82}{space 3} 2.486637
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0104698{col 41}{space 2} .0009862{col 52}{space 1}   10.62{col 61}{space 3}0.000{col 69}{space 4} .0085368{col 82}{space 3} .0124027
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-2.133255{col 41}{space 2} .8159148{col 52}{space 1}   -2.61{col 61}{space 3}0.009{col 69}{space 4}-3.732419{col 82}{space 3}-.5340914
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2}-16.38202{col 41}{space 2}  4.99665{col 69}{space 4}-26.17528{col 82}{space 3} -6.58877
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 7.68e-08{col 41}{space 2} 3.84e-07{col 69}{space 4} 4.29e-12{col 82}{space 3} .0013757
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store nbreg2
{txt}
{com}. 
. nbreg fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per income_outside_district_per per_noholding_10_pa       ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1271.8006}  
Iteration 1:{space 3}log pseudolikelihood = {res:-403.72203}  
Iteration 2:{space 3}log pseudolikelihood = {res:-267.26822}  
Iteration 3:{space 3}log pseudolikelihood = {res:-140.94256}  
Iteration 4:{space 3}log pseudolikelihood = {res:-133.86932}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.64663}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.64593}  
Iteration 7:{space 3}log pseudolikelihood = {res:-133.64593}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-201.65054}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.77306}  
Iteration 2:{space 3}log pseudolikelihood = {res:-200.77303}  
Iteration 3:{space 3}log pseudolikelihood = {res:-200.77303}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-178.25585}  
Iteration 1:{space 3}log pseudolikelihood = {res: -150.1406}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-141.81272}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-135.22013}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.00171}  
Iteration 5:{space 3}log pseudolikelihood = {res:-133.73481}  
Iteration 6:{space 3}log pseudolikelihood = {res:-133.66081}  
Iteration 7:{space 3}log pseudolikelihood = {res:-133.64931}  
Iteration 8:{space 3}log pseudolikelihood = {res:-133.64665}  
Iteration 9:{space 3}log pseudolikelihood = {res:-133.64605}  
Iteration 10:{space 2}log pseudolikelihood = {res:-133.64594}  
Iteration 11:{space 2}log pseudolikelihood = {res:-133.64593}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2423.25
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-133.64593{txt}{col 49}Pseudo R2{col 67}= {res}    0.3343

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}ln_state_women_mj {c |}{col 29}{res}{space 2} .1958949{col 41}{space 2} .0786724{col 52}{space 1}    2.49{col 61}{space 3}0.013{col 69}{space 4} .0416999{col 82}{space 3}   .35009
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0085244{col 41}{space 2} .0127256{col 52}{space 1}   -0.67{col 61}{space 3}0.503{col 69}{space 4}-.0334661{col 82}{space 3} .0164174
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0283203{col 41}{space 2} .0181492{col 52}{space 1}    1.56{col 61}{space 3}0.119{col 69}{space 4}-.0072516{col 82}{space 3} .0638921
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} -.014954{col 41}{space 2} .0113229{col 52}{space 1}   -1.32{col 61}{space 3}0.187{col 69}{space 4}-.0371464{col 82}{space 3} .0072384
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-.8584232{col 41}{space 2} .6056662{col 52}{space 1}   -1.42{col 61}{space 3}0.156{col 69}{space 4}-2.045507{col 82}{space 3} .3286606
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0291669{col 41}{space 2} .0055204{col 52}{space 1}    5.28{col 61}{space 3}0.000{col 69}{space 4}  .018347{col 82}{space 3} .0399867
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.1651231{col 41}{space 2} .2910768{col 52}{space 1}   -0.57{col 61}{space 3}0.571{col 69}{space 4}-.7356231{col 82}{space 3}  .405377
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .1930128{col 41}{space 2} .2802848{col 52}{space 1}    0.69{col 61}{space 3}0.491{col 69}{space 4}-.3563352{col 82}{space 3} .7423609
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2}-.2139606{col 41}{space 2} .2217462{col 52}{space 1}   -0.96{col 61}{space 3}0.335{col 69}{space 4}-.6485751{col 82}{space 3} .2206539
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.2423991{col 41}{space 2} .3691932{col 52}{space 1}   -0.66{col 61}{space 3}0.511{col 69}{space 4}-.9660043{col 82}{space 3} .4812062
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .8356399{col 41}{space 2}  .638416{col 52}{space 1}    1.31{col 61}{space 3}0.191{col 69}{space 4}-.4156326{col 82}{space 3} 2.086912
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.336622{col 41}{space 2} .6376246{col 52}{space 1}    2.10{col 61}{space 3}0.036{col 69}{space 4} .0869007{col 82}{space 3} 2.586343
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0097969{col 41}{space 2}  .000751{col 52}{space 1}   13.05{col 61}{space 3}0.000{col 69}{space 4}  .008325{col 82}{space 3} .0112688
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.761304{col 41}{space 2} .8444913{col 52}{space 1}   -2.09{col 61}{space 3}0.037{col 69}{space 4}-3.416477{col 82}{space 3}-.1061318
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2}-15.76932{col 41}{space 2} 3.139743{col 69}{space 4} -21.9231{col 82}{space 3}-9.615537
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 1.42e-07{col 41}{space 2} 4.45e-07{col 69}{space 4} 3.01e-10{col 82}{space 3} .0000667
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store nbreg3
{txt}
{com}. 
. nbreg fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per income_outside_district_per per_noholding_10_pa      ///
> religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1254.3548}  
Iteration 1:{space 3}log pseudolikelihood = {res: -400.9338}  
Iteration 2:{space 3}log pseudolikelihood = {res:-227.73414}  
Iteration 3:{space 3}log pseudolikelihood = {res:-137.80855}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.64107}  
Iteration 5:{space 3}log pseudolikelihood = {res:-134.62182}  
Iteration 6:{space 3}log pseudolikelihood = {res:-134.62181}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-201.65054}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.77306}  
Iteration 2:{space 3}log pseudolikelihood = {res:-200.77303}  
Iteration 3:{space 3}log pseudolikelihood = {res:-200.77303}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-178.62941}  
Iteration 1:{space 3}log pseudolikelihood = {res:-152.43948}  (backed up)
Iteration 2:{space 3}log pseudolikelihood = {res:-138.64197}  
Iteration 3:{space 3}log pseudolikelihood = {res:-136.14502}  
Iteration 4:{space 3}log pseudolikelihood = {res:-134.84366}  
Iteration 5:{space 3}log pseudolikelihood = {res:  -134.674}  
Iteration 6:{space 3}log pseudolikelihood = {res: -134.6348}  
Iteration 7:{space 3}log pseudolikelihood = {res:-134.62416}  
Iteration 8:{space 3}log pseudolikelihood = {res:-134.62225}  
Iteration 9:{space 3}log pseudolikelihood = {res:-134.62191}  
Iteration 10:{space 2}log pseudolikelihood = {res:-134.62184}  
Iteration 11:{space 2}log pseudolikelihood = {res:-134.62182}  
Iteration 12:{space 2}log pseudolikelihood = {res:-134.62182}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}        75
{txt}{col 49}Wald chi2({res}13{txt}){col 67}= {res}   2455.12
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-134.62182{txt}{col 49}Pseudo R2{col 67}= {res}    0.3295

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}   fptp_no_femcandiates2008{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}ln_maoist_women_mj {c |}{col 29}{res}{space 2}  .179629{col 41}{space 2} .0820492{col 52}{space 1}    2.19{col 61}{space 3}0.029{col 69}{space 4} .0188156{col 82}{space 3} .3404424
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0122096{col 41}{space 2} .0120492{col 52}{space 1}   -1.01{col 61}{space 3}0.311{col 69}{space 4}-.0358257{col 82}{space 3} .0114065
{txt}income_outside_district_per {c |}{col 29}{res}{space 2}  .023397{col 41}{space 2} .0166421{col 52}{space 1}    1.41{col 61}{space 3}0.160{col 69}{space 4}-.0092209{col 82}{space 3} .0560149
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}-.0216759{col 41}{space 2} .0123592{col 52}{space 1}   -1.75{col 61}{space 3}0.079{col 69}{space 4}-.0458995{col 82}{space 3} .0025478
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2} -.405539{col 41}{space 2}  .632376{col 52}{space 1}   -0.64{col 61}{space 3}0.521{col 69}{space 4}-1.644973{col 82}{space 3} .8338953
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0224911{col 41}{space 2} .0048246{col 52}{space 1}    4.66{col 61}{space 3}0.000{col 69}{space 4}  .013035{col 82}{space 3} .0319472
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}-.3618172{col 41}{space 2} .2495636{col 52}{space 1}   -1.45{col 61}{space 3}0.147{col 69}{space 4}-.8509528{col 82}{space 3} .1273185
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-.0319676{col 41}{space 2}  .238862{col 52}{space 1}   -0.13{col 61}{space 3}0.894{col 69}{space 4}-.5001285{col 82}{space 3} .4361933
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} -.162898{col 41}{space 2} .2164363{col 52}{space 1}   -0.75{col 61}{space 3}0.452{col 69}{space 4}-.5871055{col 82}{space 3} .2613094
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.0629197{col 41}{space 2} .3462544{col 52}{space 1}   -0.18{col 61}{space 3}0.856{col 69}{space 4}-.7415658{col 82}{space 3} .6157264
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2} .9975179{col 41}{space 2}  .669443{col 52}{space 1}    1.49{col 61}{space 3}0.136{col 69}{space 4}-.3145662{col 82}{space 3} 2.309602
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} 1.405367{col 41}{space 2} .6730893{col 52}{space 1}    2.09{col 61}{space 3}0.037{col 69}{space 4} .0861364{col 82}{space 3} 2.724598
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0095893{col 41}{space 2} .0007055{col 52}{space 1}   13.59{col 61}{space 3}0.000{col 69}{space 4} .0082065{col 82}{space 3} .0109721
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.202074{col 41}{space 2} .8589336{col 52}{space 1}   -1.40{col 61}{space 3}0.162{col 69}{space 4}-2.885553{col 82}{space 3} .4814052
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}/lnalpha {c |}{col 29}{res}{space 2}-16.63128{col 41}{space 2} .8165659{col 69}{space 4}-18.23172{col 82}{space 3}-15.03084
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                      alpha {c |}{col 29}{res}{space 2} 5.99e-08{col 41}{space 2} 4.89e-08{col 69}{space 4} 1.21e-08{col 82}{space 3} 2.97e-07
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. est store nbreg4
{txt}
{com}. 
. 
. **Appendix Table 3
. **Test Poisson vs binomial
. lrtest poisson1 nbreg1, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}1{txt}){col 67}={res}     -0.00
{txt}(Assumption: {res}{stata est replay poisson1:poisson1}{txt} nested in {res}{stata est replay nbreg1:nbreg1}{txt}){col 55}Prob > chi2 = {res}   1.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay poisson1:poisson1}}{col 14}{c |}{res}{col 16}        75{col 27}-354.7846{col 38} -134.283{col 49}    14{col 58}  296.566{col 69} 329.0108
{txt}{ralign 12:{stata estimates replay nbreg1:nbreg1}}{col 14}{c |}{res}{col 16}        75{col 27} -200.773{col 38} -134.283{col 49}    15{col 58}  298.566{col 69} 333.3283
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. lrtest poisson2 nbreg2, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}1{txt}){col 67}={res}     -0.00
{txt}(Assumption: {res}{stata est replay poisson2:poisson2}{txt} nested in {res}{stata est replay nbreg2:nbreg2}{txt}){col 55}Prob > chi2 = {res}   1.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay poisson2:poisson2}}{col 14}{c |}{res}{col 16}        75{col 27}-354.7846{col 38}-132.3535{col 49}    15{col 58} 294.7071{col 69} 329.4694
{txt}{ralign 12:{stata estimates replay nbreg2:nbreg2}}{col 14}{c |}{res}{col 16}        75{col 27} -200.773{col 38}-132.3535{col 49}    16{col 58} 296.7071{col 69} 333.7869
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. //lrtest poisson3 nbreg3, stats force
. lrtest poisson4 nbreg4, stats force

{txt}Likelihood-ratio test{col 55}LR chi2({res}1{txt}){col 67}={res}     -0.00
{txt}(Assumption: {res}{stata est replay poisson4:poisson4}{txt} nested in {res}{stata est replay nbreg4:nbreg4}{txt}){col 55}Prob > chi2 = {res}   1.0000

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:{stata estimates replay poisson4:poisson4}}{col 14}{c |}{res}{col 16}        75{col 27}-354.7846{col 38}-134.6218{col 49}    14{col 58} 297.2436{col 69} 329.6885
{txt}{ralign 12:{stata estimates replay nbreg4:nbreg4}}{col 14}{c |}{res}{col 16}        75{col 27} -200.773{col 38}-134.6218{col 49}    15{col 58} 299.2436{col 69}  334.006
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. 
. 
. 
. //Table 4 2011 & 2021
. //Model 1
. reg fem_land_own_change01_11_1000 fptp_no_femcandiates2008  ln_mj_total_victims income_outside_nepal_per income_outside_district_per /// 
> per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   317.79
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9133
                                                {txt}Root MSE          =    {res} 1.4819

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_change01_~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .2733646{col 41}{space 2}  .037049{col 52}{space 1}    7.38{col 61}{space 3}0.000{col 69}{space 4} .1992556{col 82}{space 3} .3474737
{txt}{space 8}ln_mj_total_victims {c |}{col 29}{res}{space 2} .0487523{col 41}{space 2} .1685445{col 52}{space 1}    0.29{col 61}{space 3}0.773{col 69}{space 4}-.2883868{col 82}{space 3} .3858914
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2} -.010786{col 41}{space 2} .0259879{col 52}{space 1}   -0.42{col 61}{space 3}0.680{col 69}{space 4}-.0627695{col 82}{space 3} .0411975
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0234517{col 41}{space 2} .0408361{col 52}{space 1}    0.57{col 61}{space 3}0.568{col 69}{space 4}-.0582327{col 82}{space 3} .1051362
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0118892{col 41}{space 2} .0194071{col 52}{space 1}    0.61{col 61}{space 3}0.542{col 69}{space 4}-.0269307{col 82}{space 3} .0507092
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.710811{col 41}{space 2} 1.269036{col 52}{space 1}   -2.14{col 61}{space 3}0.037{col 69}{space 4} -5.24926{col 82}{space 3}-.1723618
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0493229{col 41}{space 2} .0214051{col 52}{space 1}    2.30{col 61}{space 3}0.025{col 69}{space 4} .0065063{col 82}{space 3} .0921394
{txt}{space 16}region_east {c |}{col 29}{res}{space 2}  2.32066{col 41}{space 2}  .798522{col 52}{space 1}    2.91{col 61}{space 3}0.005{col 69}{space 4} .7233779{col 82}{space 3} 3.917942
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .1468596{col 41}{space 2} .6591932{col 52}{space 1}    0.22{col 61}{space 3}0.824{col 69}{space 4}-1.171723{col 82}{space 3} 1.465442
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .3308956{col 41}{space 2} .5371393{col 52}{space 1}    0.62{col 61}{space 3}0.540{col 69}{space 4}-.7435429{col 82}{space 3} 1.405334
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.4204416{col 41}{space 2} .6863768{col 52}{space 1}   -0.61{col 61}{space 3}0.542{col 69}{space 4}  -1.7934{col 82}{space 3} .9525164
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.3220458{col 41}{space 2} .4343688{col 52}{space 1}   -0.74{col 61}{space 3}0.461{col 69}{space 4}-1.190913{col 82}{space 3} .5468212
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} -.265019{col 41}{space 2} .6148113{col 52}{space 1}   -0.43{col 61}{space 3}0.668{col 69}{space 4}-1.494825{col 82}{space 3} .9647867
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0376991{col 41}{space 2} .0077564{col 52}{space 1}    4.86{col 61}{space 3}0.000{col 69}{space 4} .0221839{col 82}{space 3} .0532143
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.722103{col 41}{space 2} 1.612916{col 52}{space 1}   -1.07{col 61}{space 3}0.290{col 69}{space 4}-4.948416{col 82}{space 3}  1.50421
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 2
. reg fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per     ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(15, 59)         =  {res}   285.04
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9137
                                                {txt}Root MSE          =    {res} 1.4916

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_change01_~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .2659755{col 41}{space 2} .0423199{col 52}{space 1}    6.28{col 61}{space 3}0.000{col 69}{space 4} .1812937{col 82}{space 3} .3506574
{txt}{space 13}ln_male_killed {c |}{col 29}{res}{space 2}-.0402567{col 41}{space 2} .2214126{col 52}{space 1}   -0.18{col 61}{space 3}0.856{col 69}{space 4}-.4833023{col 82}{space 3}  .402789
{txt}{space 11}ln_female_killed {c |}{col 29}{res}{space 2} .1248612{col 41}{space 2} .2462373{col 52}{space 1}    0.51{col 61}{space 3}0.614{col 69}{space 4}-.3678584{col 82}{space 3} .6175808
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0096251{col 41}{space 2} .0263639{col 52}{space 1}   -0.37{col 61}{space 3}0.716{col 69}{space 4}-.0623792{col 82}{space 3}  .043129
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0220508{col 41}{space 2} .0355652{col 52}{space 1}    0.62{col 61}{space 3}0.538{col 69}{space 4}-.0491151{col 82}{space 3} .0932167
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0136435{col 41}{space 2} .0199981{col 52}{space 1}    0.68{col 61}{space 3}0.498{col 69}{space 4}-.0263725{col 82}{space 3} .0536596
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.804509{col 41}{space 2}  1.41186{col 52}{space 1}   -1.99{col 61}{space 3}0.052{col 69}{space 4}-5.629634{col 82}{space 3} .0206153
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0507275{col 41}{space 2} .0224149{col 52}{space 1}    2.26{col 61}{space 3}0.027{col 69}{space 4} .0058754{col 82}{space 3} .0955796
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 2.386181{col 41}{space 2} .8734803{col 52}{space 1}    2.73{col 61}{space 3}0.008{col 69}{space 4} .6383509{col 82}{space 3} 4.134011
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .2049629{col 41}{space 2} .6766178{col 52}{space 1}    0.30{col 61}{space 3}0.763{col 69}{space 4}-1.148946{col 82}{space 3} 1.558872
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .3039793{col 41}{space 2} .5413207{col 52}{space 1}    0.56{col 61}{space 3}0.577{col 69}{space 4} -.779201{col 82}{space 3}  1.38716
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.4119391{col 41}{space 2}  .706063{col 52}{space 1}   -0.58{col 61}{space 3}0.562{col 69}{space 4}-1.824768{col 82}{space 3}  1.00089
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.3272249{col 41}{space 2} .4131214{col 52}{space 1}   -0.79{col 61}{space 3}0.431{col 69}{space 4}-1.153879{col 82}{space 3} .4994291
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}-.3313144{col 41}{space 2}  .637131{col 52}{space 1}   -0.52{col 61}{space 3}0.605{col 69}{space 4} -1.60621{col 82}{space 3} .9435817
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0392512{col 41}{space 2} .0083532{col 52}{space 1}    4.70{col 61}{space 3}0.000{col 69}{space 4} .0225364{col 82}{space 3}  .055966
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.706191{col 41}{space 2} 1.358207{col 52}{space 1}   -1.26{col 61}{space 3}0.214{col 69}{space 4}-4.423957{col 82}{space 3} 1.011576
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 3
. reg fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per   ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   293.19
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9140
                                                {txt}Root MSE          =    {res}  1.476

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_change01_~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .2671504{col 41}{space 2} .0388771{col 52}{space 1}    6.87{col 61}{space 3}0.000{col 69}{space 4} .1893846{col 82}{space 3} .3449163
{txt}{space 10}ln_state_women_mj {c |}{col 29}{res}{space 2}  .144841{col 41}{space 2} .1753651{col 52}{space 1}    0.83{col 61}{space 3}0.412{col 69}{space 4}-.2059415{col 82}{space 3} .4956235
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0083502{col 41}{space 2} .0258753{col 52}{space 1}   -0.32{col 61}{space 3}0.748{col 69}{space 4}-.0601085{col 82}{space 3}  .043408
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0258148{col 41}{space 2} .0345109{col 52}{space 1}    0.75{col 61}{space 3}0.457{col 69}{space 4}-.0432173{col 82}{space 3}  .094847
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0156338{col 41}{space 2} .0202802{col 52}{space 1}    0.77{col 61}{space 3}0.444{col 69}{space 4}-.0249327{col 82}{space 3} .0562002
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.763736{col 41}{space 2} 1.213084{col 52}{space 1}   -2.28{col 61}{space 3}0.026{col 69}{space 4}-5.190266{col 82}{space 3}-.3372061
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0518965{col 41}{space 2}  .022096{col 52}{space 1}    2.35{col 61}{space 3}0.022{col 69}{space 4} .0076979{col 82}{space 3} .0960951
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 2.395289{col 41}{space 2} .7974971{col 52}{space 1}    3.00{col 61}{space 3}0.004{col 69}{space 4} .8000576{col 82}{space 3} 3.990521
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2} .2141106{col 41}{space 2} .6174879{col 52}{space 1}    0.35{col 61}{space 3}0.730{col 69}{space 4}-1.021049{col 82}{space 3}  1.44927
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .2650421{col 41}{space 2} .5322769{col 52}{space 1}    0.50{col 61}{space 3}0.620{col 69}{space 4}-.7996702{col 82}{space 3} 1.329754
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.4215328{col 41}{space 2} .7072105{col 52}{space 1}   -0.60{col 61}{space 3}0.553{col 69}{space 4}-1.836164{col 82}{space 3} .9930988
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.3860133{col 41}{space 2} .4153725{col 52}{space 1}   -0.93{col 61}{space 3}0.356{col 69}{space 4}-1.216882{col 82}{space 3} .4448555
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}-.3953894{col 41}{space 2} .6293048{col 52}{space 1}   -0.63{col 61}{space 3}0.532{col 69}{space 4}-1.654186{col 82}{space 3} .8634076
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0394877{col 41}{space 2} .0082413{col 52}{space 1}    4.79{col 61}{space 3}0.000{col 69}{space 4} .0230028{col 82}{space 3} .0559727
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.971285{col 41}{space 2} 1.442062{col 52}{space 1}   -1.37{col 61}{space 3}0.177{col 69}{space 4}-4.855838{col 82}{space 3}  .913268
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 4
. reg fem_land_own_change01_11_1000 fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per  ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   282.37
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9137
                                                {txt}Root MSE          =    {res} 1.4786

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_change01_~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .2676568{col 41}{space 2} .0381448{col 52}{space 1}    7.02{col 61}{space 3}0.000{col 69}{space 4} .1913558{col 82}{space 3} .3439578
{txt}{space 9}ln_maoist_women_mj {c |}{col 29}{res}{space 2} .1490045{col 41}{space 2} .2814952{col 52}{space 1}    0.53{col 61}{space 3}0.599{col 69}{space 4}-.4140697{col 82}{space 3} .7120787
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0095203{col 41}{space 2} .0264842{col 52}{space 1}   -0.36{col 61}{space 3}0.721{col 69}{space 4}-.0624966{col 82}{space 3} .0434559
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0212515{col 41}{space 2} .0338744{col 52}{space 1}    0.63{col 61}{space 3}0.533{col 69}{space 4}-.0465074{col 82}{space 3} .0890105
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0129837{col 41}{space 2} .0205121{col 52}{space 1}    0.63{col 61}{space 3}0.529{col 69}{space 4}-.0280465{col 82}{space 3}  .054014
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.596874{col 41}{space 2} 1.149837{col 52}{space 1}   -2.26{col 61}{space 3}0.028{col 69}{space 4}-4.896891{col 82}{space 3} -.296857
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .0488793{col 41}{space 2} .0206678{col 52}{space 1}    2.36{col 61}{space 3}0.021{col 69}{space 4} .0075376{col 82}{space 3} .0902211
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 2.295503{col 41}{space 2} .7684523{col 52}{space 1}    2.99{col 61}{space 3}0.004{col 69}{space 4} .7583697{col 82}{space 3} 3.832637
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}  .129293{col 41}{space 2} .6371206{col 52}{space 1}    0.20{col 61}{space 3}0.840{col 69}{space 4}-1.145138{col 82}{space 3} 1.403724
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .2834427{col 41}{space 2} .5487098{col 52}{space 1}    0.52{col 61}{space 3}0.607{col 69}{space 4}-.8141402{col 82}{space 3} 1.381026
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2}-.3722329{col 41}{space 2} .6806394{col 52}{space 1}   -0.55{col 61}{space 3}0.586{col 69}{space 4}-1.733714{col 82}{space 3} .9892486
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.3050696{col 41}{space 2} .3883614{col 52}{space 1}   -0.79{col 61}{space 3}0.435{col 69}{space 4}-1.081908{col 82}{space 3} .4717688
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2} -.338631{col 41}{space 2} .5713615{col 52}{space 1}   -0.59{col 61}{space 3}0.556{col 69}{space 4}-1.481524{col 82}{space 3} .8042621
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0389679{col 41}{space 2}  .007939{col 52}{space 1}    4.91{col 61}{space 3}0.000{col 69}{space 4} .0230875{col 82}{space 3} .0548483
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-1.619685{col 41}{space 2}  1.27512{col 52}{space 1}   -1.27{col 61}{space 3}0.209{col 69}{space 4}-4.170304{col 82}{space 3} .9309337
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. //Model 5
. reg fem_land_own_01change21_1000 fptp_no_femcandiates2008  ln_mj_total_victims  ///
> income_outside_nepal_per income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   393.94
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9041
                                                {txt}Root MSE          =    {res} 2.6623

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_01change2~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .4933663{col 41}{space 2} .0668321{col 52}{space 1}    7.38{col 61}{space 3}0.000{col 69}{space 4} .3596822{col 82}{space 3} .6270504
{txt}{space 8}ln_mj_total_victims {c |}{col 29}{res}{space 2} .3047857{col 41}{space 2}  .302068{col 52}{space 1}    1.01{col 61}{space 3}0.317{col 69}{space 4}-.2994402{col 82}{space 3} .9090115
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0123553{col 41}{space 2} .0441923{col 52}{space 1}   -0.28{col 61}{space 3}0.781{col 69}{space 4} -.100753{col 82}{space 3} .0760424
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0318661{col 41}{space 2} .0748846{col 52}{space 1}    0.43{col 61}{space 3}0.672{col 69}{space 4}-.1179254{col 82}{space 3} .1816575
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2}  .024157{col 41}{space 2} .0317878{col 52}{space 1}    0.76{col 61}{space 3}0.450{col 69}{space 4}-.0394281{col 82}{space 3} .0877421
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.488122{col 41}{space 2}  2.64451{col 52}{space 1}   -0.94{col 61}{space 3}0.351{col 69}{space 4} -7.77793{col 82}{space 3} 2.801686
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .1124933{col 41}{space 2} .0396454{col 52}{space 1}    2.84{col 61}{space 3}0.006{col 69}{space 4} .0331907{col 82}{space 3} .1917959
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 1.470912{col 41}{space 2} 1.339781{col 52}{space 1}    1.10{col 61}{space 3}0.277{col 69}{space 4}-1.209049{col 82}{space 3} 4.150872
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-1.713304{col 41}{space 2} 1.087455{col 52}{space 1}   -1.58{col 61}{space 3}0.120{col 69}{space 4}-3.888537{col 82}{space 3} .4619296
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .9654713{col 41}{space 2} .8492192{col 52}{space 1}    1.14{col 61}{space 3}0.260{col 69}{space 4}-.7332201{col 82}{space 3} 2.664163
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2} .2175664{col 41}{space 2} 1.210978{col 52}{space 1}    0.18{col 61}{space 3}0.858{col 69}{space 4} -2.20475{col 82}{space 3} 2.639883
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-1.066262{col 41}{space 2} .7180522{col 52}{space 1}   -1.48{col 61}{space 3}0.143{col 69}{space 4} -2.50258{col 82}{space 3} .3700566
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}-.0381903{col 41}{space 2} 1.267646{col 52}{space 1}   -0.03{col 61}{space 3}0.976{col 69}{space 4}-2.573859{col 82}{space 3} 2.497479
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2}  .061663{col 41}{space 2} .0133688{col 52}{space 1}    4.61{col 61}{space 3}0.000{col 69}{space 4} .0349214{col 82}{space 3} .0884045
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-5.108626{col 41}{space 2} 2.965945{col 52}{space 1}   -1.72{col 61}{space 3}0.090{col 69}{space 4} -11.0414{col 82}{space 3} .8241467
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 6
. reg fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_male_killed ln_female_killed income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(15, 59)         =  {res}   403.89
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9045
                                                {txt}Root MSE          =    {res} 2.6798

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_01change2~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .5089308{col 41}{space 2} .0744255{col 52}{space 1}    6.84{col 61}{space 3}0.000{col 69}{space 4} .3600057{col 82}{space 3} .6578559
{txt}{space 13}ln_male_killed {c |}{col 29}{res}{space 2} .3556776{col 41}{space 2} .4226244{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-.4899919{col 82}{space 3} 1.201347
{txt}{space 11}ln_female_killed {c |}{col 29}{res}{space 2}-.0527817{col 41}{space 2} .4729014{col 52}{space 1}   -0.11{col 61}{space 3}0.912{col 69}{space 4}-.9990553{col 82}{space 3} .8934919
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0160037{col 41}{space 2} .0432737{col 52}{space 1}   -0.37{col 61}{space 3}0.713{col 69}{space 4}-.1025943{col 82}{space 3} .0705868
{txt}income_outside_district_per {c |}{col 29}{res}{space 2}  .032651{col 41}{space 2} .0674315{col 52}{space 1}    0.48{col 61}{space 3}0.630{col 69}{space 4} -.102279{col 82}{space 3} .1675811
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0263578{col 41}{space 2} .0306054{col 52}{space 1}    0.86{col 61}{space 3}0.393{col 69}{space 4}-.0348834{col 82}{space 3} .0875991
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.241518{col 41}{space 2} 2.563998{col 52}{space 1}   -0.87{col 61}{space 3}0.386{col 69}{space 4}-7.372066{col 82}{space 3}  2.88903
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .1097625{col 41}{space 2}  .039316{col 52}{space 1}    2.79{col 61}{space 3}0.007{col 69}{space 4} .0310914{col 82}{space 3} .1884337
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 1.437095{col 41}{space 2} 1.487512{col 52}{space 1}    0.97{col 61}{space 3}0.338{col 69}{space 4}-1.539409{col 82}{space 3} 4.413599
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-1.767764{col 41}{space 2} 1.040816{col 52}{space 1}   -1.70{col 61}{space 3}0.095{col 69}{space 4}-3.850431{col 82}{space 3} .3149037
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} 1.054002{col 41}{space 2} .8909877{col 52}{space 1}    1.18{col 61}{space 3}0.242{col 69}{space 4}-.7288601{col 82}{space 3} 2.836864
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2} .2790568{col 41}{space 2} 1.210845{col 52}{space 1}    0.23{col 61}{space 3}0.819{col 69}{space 4}-2.143837{col 82}{space 3} 2.701951
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-1.049956{col 41}{space 2} .6571448{col 52}{space 1}   -1.60{col 61}{space 3}0.115{col 69}{space 4}  -2.3649{col 82}{space 3} .2649873
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}-.0606302{col 41}{space 2} 1.274947{col 52}{space 1}   -0.05{col 61}{space 3}0.962{col 69}{space 4}-2.611792{col 82}{space 3} 2.490532
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0608835{col 41}{space 2} .0151727{col 52}{space 1}    4.01{col 61}{space 3}0.000{col 69}{space 4}  .030523{col 82}{space 3} .0912441
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-5.063553{col 41}{space 2} 2.374383{col 52}{space 1}   -2.13{col 61}{space 3}0.037{col 69}{space 4}-9.814682{col 82}{space 3}-.3124233
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 7 
. reg fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_state_women_mj income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   358.96
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9037
                                                {txt}Root MSE          =    {res} 2.6678

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_01change2~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2}  .485817{col 41}{space 2} .0706207{col 52}{space 1}    6.88{col 61}{space 3}0.000{col 69}{space 4} .3445546{col 82}{space 3} .6270795
{txt}{space 10}ln_state_women_mj {c |}{col 29}{res}{space 2} .1733369{col 41}{space 2} .3316497{col 52}{space 1}    0.52{col 61}{space 3}0.603{col 69}{space 4}-.4900614{col 82}{space 3} .8367351
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0130907{col 41}{space 2} .0455388{col 52}{space 1}   -0.29{col 61}{space 3}0.775{col 69}{space 4}-.1041818{col 82}{space 3} .0780005
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0112961{col 41}{space 2}  .063695{col 52}{space 1}    0.18{col 61}{space 3}0.860{col 69}{space 4}-.1161128{col 82}{space 3}  .138705
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0232931{col 41}{space 2} .0304762{col 52}{space 1}    0.76{col 61}{space 3}0.448{col 69}{space 4}-.0376683{col 82}{space 3} .0842546
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.907802{col 41}{space 2} 2.522171{col 52}{space 1}   -1.15{col 61}{space 3}0.254{col 69}{space 4}-7.952895{col 82}{space 3}  2.13729
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2}  .111073{col 41}{space 2} .0389583{col 52}{space 1}    2.85{col 61}{space 3}0.006{col 69}{space 4} .0331449{col 82}{space 3} .1890012
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 1.672739{col 41}{space 2}  1.35352{col 52}{space 1}    1.24{col 61}{space 3}0.221{col 69}{space 4}-1.034705{col 82}{space 3} 4.380183
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-1.512395{col 41}{space 2} .9984719{col 52}{space 1}   -1.51{col 61}{space 3}0.135{col 69}{space 4}-3.509636{col 82}{space 3} .4848463
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} 1.099379{col 41}{space 2} .9150157{col 52}{space 1}    1.20{col 61}{space 3}0.234{col 69}{space 4}-.7309254{col 82}{space 3} 2.929682
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2} .2345729{col 41}{space 2} 1.235038{col 52}{space 1}    0.19{col 61}{space 3}0.850{col 69}{space 4}-2.235871{col 82}{space 3} 2.705017
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.8902228{col 41}{space 2} .6419385{col 52}{space 1}   -1.39{col 61}{space 3}0.171{col 69}{space 4}-2.174291{col 82}{space 3} .3938453
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}  .064238{col 41}{space 2} 1.229479{col 52}{space 1}    0.05{col 61}{space 3}0.959{col 69}{space 4}-2.395086{col 82}{space 3} 2.523562
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2} .0638479{col 41}{space 2} .0149415{col 52}{space 1}    4.27{col 61}{space 3}0.000{col 69}{space 4} .0339604{col 82}{space 3} .0937354
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-4.060932{col 41}{space 2} 2.410778{col 52}{space 1}   -1.68{col 61}{space 3}0.097{col 69}{space 4}-8.883206{col 82}{space 3} .7613422
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. //Model 8
. reg fem_land_own_01change21_1000 fptp_no_femcandiates2008 ln_maoist_women_mj income_outside_nepal_per ///
> income_outside_district_per per_noholding_10_pa religious_fract female_lit_rate2001 region_east ///
> region_mid region_midwest region_farwest hill tarai no_candidates_2008, vce(robust)

{txt}Linear regression                               Number of obs     = {res}        75
                                                {txt}F(14, 60)         =  {res}   398.32
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9046
                                                {txt}Root MSE          =    {res} 2.6551

{txt}{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 1}fem_land_own_01change2~1000{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      t{col 61}   P>|t|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}fptp_no_femcandiates2008 {c |}{col 29}{res}{space 2} .4767518{col 41}{space 2} .0687537{col 52}{space 1}    6.93{col 61}{space 3}0.000{col 69}{space 4} .3392239{col 82}{space 3} .6142798
{txt}{space 9}ln_maoist_women_mj {c |}{col 29}{res}{space 2} .4317759{col 41}{space 2} .5125744{col 52}{space 1}    0.84{col 61}{space 3}0.403{col 69}{space 4}-.5935255{col 82}{space 3} 1.457077
{txt}{space 3}income_outside_nepal_per {c |}{col 29}{res}{space 2}-.0111098{col 41}{space 2} .0445262{col 52}{space 1}   -0.25{col 61}{space 3}0.804{col 69}{space 4}-.1001754{col 82}{space 3} .0779559
{txt}income_outside_district_per {c |}{col 29}{res}{space 2} .0099659{col 41}{space 2} .0640639{col 52}{space 1}    0.16{col 61}{space 3}0.877{col 69}{space 4}-.1181809{col 82}{space 3} .1381127
{txt}{space 8}per_noholding_10_pa {c |}{col 29}{res}{space 2} .0237821{col 41}{space 2}  .034535{col 52}{space 1}    0.69{col 61}{space 3}0.494{col 69}{space 4}-.0452982{col 82}{space 3} .0928625
{txt}{space 12}religious_fract {c |}{col 29}{res}{space 2}-2.394397{col 41}{space 2} 2.541665{col 52}{space 1}   -0.94{col 61}{space 3}0.350{col 69}{space 4}-7.478483{col 82}{space 3}  2.68969
{txt}{space 8}female_lit_rate2001 {c |}{col 29}{res}{space 2} .1082221{col 41}{space 2} .0379978{col 52}{space 1}    2.85{col 61}{space 3}0.006{col 69}{space 4} .0322152{col 82}{space 3}  .184229
{txt}{space 16}region_east {c |}{col 29}{res}{space 2} 1.472668{col 41}{space 2} 1.262714{col 52}{space 1}    1.17{col 61}{space 3}0.248{col 69}{space 4}-1.053135{col 82}{space 3} 3.998471
{txt}{space 17}region_mid {c |}{col 29}{res}{space 2}-1.684304{col 41}{space 2} 1.058245{col 52}{space 1}   -1.59{col 61}{space 3}0.117{col 69}{space 4}-3.801109{col 82}{space 3} .4325012
{txt}{space 13}region_midwest {c |}{col 29}{res}{space 2} .9691031{col 41}{space 2} .9353541{col 52}{space 1}    1.04{col 61}{space 3}0.304{col 69}{space 4}-.9018836{col 82}{space 3}  2.84009
{txt}{space 13}region_farwest {c |}{col 29}{res}{space 2} .3694128{col 41}{space 2} 1.205518{col 52}{space 1}    0.31{col 61}{space 3}0.760{col 69}{space 4}-2.041982{col 82}{space 3} 2.780807
{txt}{space 15}hilli_region {c |}{col 29}{res}{space 2}-.8494746{col 41}{space 2} .6201081{col 52}{space 1}   -1.37{col 61}{space 3}0.176{col 69}{space 4}-2.089875{col 82}{space 3} .3909262
{txt}{space 15}tarai_region {c |}{col 29}{res}{space 2}-.0800183{col 41}{space 2} 1.170756{col 52}{space 1}   -0.07{col 61}{space 3}0.946{col 69}{space 4}-2.421879{col 82}{space 3} 2.261843
{txt}{space 9}no_candidates_2008 {c |}{col 29}{res}{space 2}  .065369{col 41}{space 2} .0140794{col 52}{space 1}    4.64{col 61}{space 3}0.000{col 69}{space 4}  .037206{col 82}{space 3} .0935319
{txt}{space 22}_cons {c |}{col 29}{res}{space 2}-3.918841{col 41}{space 2} 2.159016{col 52}{space 1}   -1.82{col 61}{space 3}0.075{col 69}{space 4}-8.237517{col 82}{space 3} .3998349
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. twoway histogram fem_land_own_change01_11_1000, color(*.5) || kdensity fem_own_land2011_1000 || normal fem_own_land2011_1000
{res}{txt}
{com}. twoway histogram fem_land_own_01change21_1000, color(*.5) || kdensity fem_land_own_01change21_1000 || normal fem_land_own_01change21_1000
{res}{txt}
{com}. twoway histogram fptp_no_femcandiates2008, color(*.5) || kdensity fptp_no_femcandiates2008|| normal fptp_no_femcandiates2008
{res}{txt}
{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\mjoshi2\Box\2023 Research\NEPAL RESEARCH\Nepal Women's Economic Rights\2024\2024-01-07Analysis.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 7 Jan 2024, 15:52:52
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